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Title: GitHub - saurzcode/awesome-datascience: :memo: An awesome Data Science repository to learn and apply for real world problems.

Open Graph Title: GitHub - saurzcode/awesome-datascience: :memo: An awesome Data Science repository to learn and apply for real world problems.

X Title: GitHub - saurzcode/awesome-datascience: :memo: An awesome Data Science repository to learn and apply for real world problems.

Description: :memo: An awesome Data Science repository to learn and apply for real world problems. - saurzcode/awesome-datascience

Open Graph Description: :memo: An awesome Data Science repository to learn and apply for real world problems. - saurzcode/awesome-datascience

X Description: :memo: An awesome Data Science repository to learn and apply for real world problems. - saurzcode/awesome-datascience

Opengraph URL: https://github.com/saurzcode/awesome-datascience

X: @github

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Herehttps://www.quora.com/Data-Science/What-is-data-science
What is Data Science @ O'reillyhttps://www.oreilly.com/ideas/what-is-data-science
What is Data Science @ Quorahttps://www.quora.com/Data-Science/What-is-data-science
The sexiest job of 21st centuryhttps://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
Wikipediahttps://en.wikipedia.org/wiki/Data_science
How to Become a Data Scientisthttps://www.mastersindatascience.org/careers/data-scientist/
a very short history of #datasciencehttps://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/
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A list of colleges and universities offering degrees in data science.https://github.com/ryanswanstrom/awesome-datascience-colleges
Data Science Degree @ Berkeleyhttps://ischoolonline.berkeley.edu/data-science/
Data Science Degree @ UVAhttps://datascience.virginia.edu/
Data Science Degree @ Wisconsinhttps://datasciencedegree.wisconsin.edu/
MS in Computer Information Systems @ Boston Universityhttps://www.bu.edu/online/programs/graduate-programs/computer-information-systems-masters-degree/
MS in Business Analytics @ ASU Onlinehttps://asuonline.asu.edu/online-degree-programs/graduate/master-science-business-analytics/
MS in Applied Data Science @ Syracusehttps://ischool.syr.edu/academics/applied-data-science-masters-degree/
M.S. Management & Data Science @ Leuphanahttps://www.leuphana.de/en/graduate-school/masters-programmes/management-data-science.html
Master of Data Science @ Melbourne Universityhttps://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/#overview
Msc in Data Science @ The University of Edinburghhttps://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=902
Master of Management Analytics @ Queen's Universityhttps://smith.queensu.ca/grad_studies/mma/index.php
Master of Data Science @ Illinois Institute of Technologyhttps://www.iit.edu/academics/programs/data-science-mas
Master of Applied Data Science @ The University of Michiganhttps://www.si.umich.edu/programs/master-applied-data-science-online
Master Data Science and Artificial Intelligence @ Eindhoven University of Technologyhttps://www.tue.nl/en/education/graduate-school/master-data-science-and-artificial-intelligence/
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Coursera Introduction to Data Sciencehttps://www.coursera.org/specializations/data-science
Data Science - 9 Steps Courses, A Specialization on Courserahttps://www.coursera.org/specializations/jhu-data-science
Data Mining - 5 Steps Courses, A Specialization on Courserahttps://www.coursera.org/specializations/data-mining
Machine Learning – 5 Steps Courses, A Specialization on Courserahttps://www.coursera.org/specializations/machine-learning
CS 109 Data Sciencehttps://cs109.github.io/2015/
OpenIntrohttps://www.openintro.org/
CS 171 Visualizationhttps://www.cs171.org/#!index.md
Process Mining: Data science in Actionhttps://www.coursera.org/learn/process-mining
Oxford Deep Learninghttps://www.cs.ox.ac.uk/projects/DeepLearn/
Oxford Deep Learning - videohttps://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
Oxford Machine Learninghttps://www.cs.ox.ac.uk/research/ai_ml/index.html
UBC Machine Learning - videohttps://www.cs.ubc.ca/~nando/540-2013/lectures.html
Data Science Specializationhttps://github.com/DataScienceSpecialization/courses
Coursera Big Data Specializationhttps://www.coursera.org/specializations/big-data
Statistical Thinking for Data Science and Analytics by Edxhttps://www.edx.org/course/statistical-thinking-for-data-science-and-analytic
Cognitive Class AI by IBMhttps://cognitiveclass.ai/
Udacity - Deep Learninghttps://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
Keras in Motionhttps://www.manning.com/livevideo/keras-in-motion
Microsoft Professional Program for Data Sciencehttps://academy.microsoft.com/en-us/professional-program/tracks/data-science/
COMP3222/COMP6246 - Machine Learning Technologieshttps://tdgunes.com/COMP6246-2019Fall/
CS 231 - Convolutional Neural Networks for Visual Recognitionhttps://cs231n.github.io/
Coursera Tensorflow in practicehttps://www.coursera.org/professional-certificates/tensorflow-in-practice
Coursera Deep Learning Specializationhttps://www.coursera.org/specializations/deep-learning
365 Data Science Coursehttps://365datascience.com/
Coursera Natural Language Processing Specializationhttps://www.coursera.org/specializations/natural-language-processing
Coursera GAN Specializationhttps://www.coursera.org/specializations/generative-adversarial-networks-gans
Codecademy's Data Sciencehttps://www.codecademy.com/learn/paths/data-science
Linear Algebrahttps://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
A 2020 Vision of Linear Algebra (G. Strang)https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/
Python for Data Science Foundation Coursehttps://intellipaat.com/academy/course/python-for-data-science-free-training/
Data Science: Statistics & Machine Learninghttps://www.coursera.org/specializations/data-science-statistics-machine-learning
Machine Learning Engineering for Production (MLOps)https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
NLP Specialization Courserahttps://www.coursera.org/specializations/natural-language-processing
Recommender Systems Specialization from University of Minnesotahttps://www.coursera.org/specializations/recommender-systems
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1000 Data Science Projectshttps://cloud.blobcity.com/#/ps/explore
#tidytuesdayhttps://github.com/rfordatascience/tidytuesday
Data science your wayhttps://github.com/jadianes/data-science-your-way
PySpark Cheatsheethttps://github.com/kevinschaich/pyspark-cheatsheet
Machine Learning, Data Science and Deep Learning with Python https://www.manning.com/livevideo/machine-learning-data-science-and-deep-learning-with-python
How To Label Datahttps://www.lighttag.io/how-to-label-data/
Your Guide to Latent Dirichlet Allocationhttps://medium.com/@lettier/how-does-lda-work-ill-explain-using-emoji-108abf40fa7d
Over 1000 Data Science Online Courses at Classpert Online Search Enginehttps://classpert.com/search/data-science
Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppardhttps://github.com/handcraftsman/GeneticAlgorithmsWithPython
Tutorials to get started on signal processings for machine learninghttps://github.com/jinglescode/python-signal-processing
Realtime deploymenthttps://www.microprediction.com/python-1
Python for Data Science: A Beginner’s Guidehttps://learntocodewith.me/posts/python-for-data-science/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#free-courses
Data Scientist with Rhttps://www.datacamp.com/tracks/data-scientist-with-r
Data Scientist with Pythonhttps://www.datacamp.com/tracks/data-scientist-with-python
Genetic Algorithms OCW Coursehttps://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/lecture-1-introduction-and-scope/
AI Expert Roadmaphttps://github.com/AMAI-GmbH/AI-Expert-Roadmap
Convex Optimizationhttps://www.edx.org/course/convex-optimization
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The Data Science Lifecycle Processhttps://github.com/dslp/dslp
Data Science Lifecycle Template Repohttps://github.com/dslp/dslp-repo-template
RexMexhttps://github.com/AstraZeneca/rexmex
ChemicalXhttps://github.com/AstraZeneca/chemicalx
PyTorch Geometric Temporalhttps://github.com/benedekrozemberczki/pytorch_geometric_temporal
Little Ball of Furhttps://github.com/benedekrozemberczki/littleballoffur
Karate Clubhttps://github.com/benedekrozemberczki/karateclub
ML Workspacehttps://github.com/ml-tooling/ml-workspace
Neptune.aihttps://neptune.ai
steppyhttps://github.com/minerva-ml/steppy
steppy-toolkithttps://github.com/minerva-ml/steppy-toolkit
Datalab from Googlehttps://cloud.google.com/datalab/docs/
Hortonworks Sandboxhttps://www.cloudera.com/downloads/hortonworks-sandbox.html
Rhttps://www.r-project.org/
RStudiohttps://www.rstudio.com
Python - Pandas - Anacondahttps://www.anaconda.com
Pandas GUIhttps://github.com/adrotog/PandasGUI
Scikit-Learnhttps://scikit-learn.org/stable/
NumPyhttps://numpy.org/
Vaexhttps://vaex.io/
SciPyhttps://scipy.org/
Data Science Toolboxhttps://www.coursera.org/learn/data-scientists-tools
Data Science Toolboxhttps://datasciencetoolbox.org/
Wolfram Data Science Platformhttps://www.wolfram.com/data-science-platform/
Datadoghttps://www.datadoghq.com/
Variancehttps://variancecharts.com/
Kite Development Kithttps://kitesdk.org/docs/current/index.html
Domino Data Labshttps://www.dominodatalab.com
Apache Flinkhttps://flink.apache.org/
Apache Hamahttps://hama.apache.org/
Wekahttps://www.cs.waikato.ac.nz/ml/weka/
Octavehttps://www.gnu.org/software/octave/
Apache Sparkhttps://spark.apache.org/
Hydrosphere Misthttps://github.com/Hydrospheredata/mist
Data Mechanicshttps://www.datamechanics.co
Caffehttps://caffe.berkeleyvision.org/
Torchhttps://torch.ch/
Nervana's python based Deep Learning Frameworkhttps://github.com/NervanaSystems/neon
Skalehttps://github.com/skale-me/skale
Aerosolvehttps://airbnb.io/aerosolve/
Intel frameworkhttps://github.com/intel/idlf
Datawrapperhttps://www.datawrapper.de/
github.comhttps://github.com/datawrapper/datawrapper
Tensor Flowhttps://www.tensorflow.org/
Natural Language Toolkithttps://www.nltk.org/
nlp-toolkit for node.jshttps://www.npmjs.com/package/nlp-toolkit
Juliahttps://julialang.org
IJuliahttps://github.com/JuliaLang/IJulia.jl
Apache Zeppelinhttps://zeppelin.apache.org/
Featuretoolshttps://github.com/alteryx/featuretools
Optimushttps://github.com/hi-primus/optimus
Albumentationshttps://github.com/albumentations-team/albumentations
DVChttps://github.com/iterative/dvc
Lambdohttps://github.com/asavinov/lambdo
Feasthttps://github.com/feast-dev/feast
Polyaxonhttps://github.com/polyaxon/polyaxon
LightTaghttps://www.lighttag.io/
UBIAIhttps://ubiai.tools
Trainshttps://github.com/allegroai/clearml
Hopsworkshttps://github.com/logicalclocks/hopsworks
MindsDBhttps://github.com/mindsdb/mindsdb
Lightwoodhttps://github.com/mindsdb/lightwood
AWS Data Wranglerhttps://github.com/awslabs/aws-data-wrangler
Amazon Rekognitionhttps://aws.amazon.com/rekognition/
Amazon Textracthttps://aws.amazon.com/textract/
Amazon Lookout for Visionhttps://aws.amazon.com/lookout-for-vision/
Amazon CodeGuruhttps://aws.amazon.com/codeguru/
CMLhttps://github.com/iterative/cml
Daskhttps://dask.org/
Statsmodelshttps://www.statsmodels.org/stable/index.html
Gensimhttps://radimrehurek.com/gensim/
spaCyhttps://spacy.io/
Grid Studiohttps://github.com/ricklamers/gridstudio
Python Data Science Handbookhttps://github.com/jakevdp/PythonDataScienceHandbook
Shapleyhttps://github.com/benedekrozemberczki/shapley
DAGsHubhttps://dagshub.com
Deepnotehttps://deepnote.com
Valohaihttps://valohai.com
PyMC3https://docs.pymc.io/
PyStanhttps://pypi.org/project/pystan/
hmmlearnhttps://pypi.org/project/hmmlearn/
Chaos Geniushttps://github.com/chaos-genius/chaos_genius/
Nimbleboxhttps://nimblebox.ai/
Towheehttps://github.com/towhee-io/towhee
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#machine-learning-in-general-purpose
scikit-learnhttps://scikit-learn.org/
scikit-multilearnhttps://github.com/scikit-multilearn/scikit-multilearn
sklearn-expertsyshttps://github.com/tmadl/sklearn-expertsys
scikit-featurehttps://github.com/jundongl/scikit-feature
scikit-rebatehttps://github.com/EpistasisLab/scikit-rebate
seqlearnhttps://github.com/larsmans/seqlearn
sklearn-bayeshttps://github.com/AmazaspShumik/sklearn-bayes
sklearn-crfsuitehttps://github.com/TeamHG-Memex/sklearn-crfsuite
sklearn-deaphttps://github.com/rsteca/sklearn-deap
sigopt_sklearnhttps://github.com/sigopt/sigopt-sklearn
sklearn-evaluationhttps://github.com/edublancas/sklearn-evaluation
scikit-imagehttps://github.com/scikit-image/scikit-image
scikit-opthttps://github.com/guofei9987/scikit-opt
scikit-posthocshttps://github.com/maximtrp/scikit-posthocs
pystructhttps://github.com/pystruct/pystruct
Shogunhttps://www.shogun-toolbox.org/
xLearnhttps://github.com/aksnzhy/xlearn
cuMLhttps://github.com/rapidsai/cuml
causalmlhttps://github.com/uber/causalml
mlpackhttps://github.com/mlpack/mlpack
MLxtendhttps://github.com/rasbt/mlxtend
modALhttps://github.com/modAL-python/modAL
Sparkit-learnhttps://github.com/lensacom/sparkit-learn
hyperlearnhttps://github.com/danielhanchen/hyperlearn
dlibhttps://github.com/davisking/dlib
RuleFithttps://github.com/christophM/rulefit
pyGAMhttps://github.com/dswah/pyGAM
Deepcheckshttps://github.com/deepchecks/deepchecks
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#deep-learning
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#pytorch
PyTorchhttps://github.com/pytorch/pytorch
torchvisionhttps://github.com/pytorch/vision
torchtexthttps://github.com/pytorch/text
torchaudiohttps://github.com/pytorch/audio
ignitehttps://github.com/pytorch/ignite
PyTorchNethttps://github.com/pytorch/tnt
PyTounehttps://github.com/GRAAL-Research/poutyne
skorchhttps://github.com/skorch-dev/skorch
PyVarInfhttps://github.com/ctallec/pyvarinf
pytorch_geometrichttps://github.com/pyg-team/pytorch_geometric
GPyTorchhttps://github.com/cornellius-gp/gpytorch
pyrohttps://github.com/pyro-ppl/pyro
Catalysthttps://github.com/catalyst-team/catalyst
pytorch_tabularhttps://github.com/manujosephv/pytorch_tabular
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#tensorflow
TensorFlowhttps://github.com/tensorflow/tensorflow
TensorLayerhttps://github.com/tensorlayer/TensorLayer
TFLearnhttps://github.com/tflearn/tflearn
Sonnethttps://github.com/deepmind/sonnet
tensorpackhttps://github.com/tensorpack/tensorpack
TRFLhttps://github.com/deepmind/trfl
Polyaxonhttps://github.com/polyaxon/polyaxon
NeuPyhttps://github.com/itdxer/neupy
tfdeployhttps://github.com/riga/tfdeploy
tensorflow-upstreamhttps://github.com/ROCmSoftwarePlatform/tensorflow-upstream
TensorFlow Foldhttps://github.com/tensorflow/fold
tensorlmhttps://github.com/batzner/tensorlm
TensorLighthttps://github.com/bsautermeister/tensorlight
Mesh TensorFlowhttps://github.com/tensorflow/mesh
Ludwighttps://github.com/ludwig-ai/ludwig
TF-Agentshttps://github.com/tensorflow/agents
TensorForcehttps://github.com/tensorforce/tensorforce
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#keras
Kerashttps://keras.io
keras-contribhttps://github.com/keras-team/keras-contrib
Hyperashttps://github.com/maxpumperla/hyperas
Elephashttps://github.com/maxpumperla/elephas
Herahttps://github.com/keplr-io/hera
Spektralhttps://github.com/danielegrattarola/spektral
qkerashttps://github.com/google/qkeras
keras-rlhttps://github.com/keras-rl/keras-rl
Taloshttps://github.com/autonomio/talos
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#visualization-tools---environments
altairhttps://altair-viz.github.io/
addeparhttps://opensource.addepar.com/ember-charts/#/overview
amchartshttps://www.amcharts.com/
anycharthttps://www.anychart.com/
bokehhttps://bokeh.org/
slemmahttps://slemma.com/
cartodbhttps://cartodb.github.io/odyssey.js/
Cubehttps://square.github.io/cube/
d3plushttps://d3plus.org/
Data-Driven Documents(D3js)https://d3js.org/
dygraphshttps://dygraphs.com/
EChartshttps://echarts.baidu.com/index-en.html
exhibithttps://www.simile-widgets.org/exhibit/
gephihttps://gephi.org/
ggplot2https://ggplot2.tidyverse.org/
Gluehttp://docs.glueviz.org/en/latest/index.html
Google Chart Galleryhttps://developers.google.com/chart/interactive/docs/gallery
highcartshttps://www.highcharts.com/
import.iohttps://www.import.io/
jqplothttps://www.jqplot.com/
Matplotlibhttps://matplotlib.org/
nvd3https://nvd3.org/
Netronhttps://github.com/lutzroeder/netron
Openrefinehttps://openrefine.org/
plot.lyhttps://plot.ly/
rawhttps://rawgraphs.io
Seabornhttps://seaborn.pydata.org/
techanjshttps://techanjs.org/
Timelinehttps://timeline.knightlab.com/
variancechartshttps://variancecharts.com/index.html
vidahttps://vida.io/
vizzuhttps://github.com/vizzuhq/vizzu-lib
Wranglerhttp://vis.stanford.edu/wrangler/
r2d3https://www.r2d3.us/visual-intro-to-machine-learning-part-1/
NetworkXhttps://networkx.org/
Redashhttps://redash.io/
C3https://c3js.org/
TensorWatchhttps://github.com/microsoft/tensorwatch
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#journals-publications-and-magazines
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
ICMLhttps://icml.cc/2015/
GECCOhttps://gecco-2019.sigevo.org/index.html/HomePage
epjdatasciencehttps://epjdatascience.springeropen.com/
Journal of Data Sciencehttps://jds-online.org/journal/JDS
Big Data Researchhttps://www.journals.elsevier.com/big-data-research
Journal of Big Datahttps://journalofbigdata.springeropen.com/
Big Data & Societyhttps://journals.sagepub.com/home/bds
Data Science Journalhttps://www.jstage.jst.go.jp/browse/dsj
datatau.com/newshttps://www.datatau.com/news
Data Science Trello Boardhttps://trello.com/b/rbpEfMld/data-science
Medium Data Science Topichttps://medium.com/tag/data-science
Towards Data Science Genetic Algorithm Topichttps://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3#:~:text=A%20genetic%20algorithm%20is%20a,offspring%20of%20the%20next%20generation.
all AI newshttps://allainews.com/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#presentations
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
How to Become a Data Scientisthttps://www.slideshare.net/ryanorban/how-to-become-a-data-scientist
Introduction to Data Sciencehttps://www.slideshare.net/NikoVuokko/introduction-to-data-science-25391618
Intro to Data Science for Enterprise Big Datahttps://www.slideshare.net/pacoid/intro-to-data-science-for-enterprise-big-data
How to Interview a Data Scientisthttps://www.slideshare.net/dtunkelang/how-to-interview-a-data-scientist
How to Share Data with a Statisticianhttps://github.com/jtleek/datasharing
The Science of a Great Career in Data Sciencehttps://www.slideshare.net/katemats/the-science-of-a-great-career-in-data-science
What Does a Data Scientist Do?https://www.slideshare.net/datasciencelondon/big-data-sorry-data-science-what-does-a-data-scientist-do
Building Data Start-Ups: Fast, Big, and Focusedhttps://www.slideshare.net/medriscoll/driscoll-strata-buildingdatastartups25may2011clean
How to win data science competitions with Deep Learninghttps://www.slideshare.net/0xdata/how-to-win-data-science-competitions-with-deep-learning
Full-Stack Data Scientisthttps://www.slideshare.net/AlexeyGrigorev/fullstack-data-scientist
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#podcasts
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
AI at Homehttps://podcasts.apple.com/us/podcast/data-science-at-home/id1069871378
AI Todayhttps://www.cognilytica.com/aitoday/
Adversarial Learninghttps://adversariallearning.com/
Becoming a Data Scientisthttps://www.becomingadatascientist.com/category/podcast/
Chai time Data Sciencehttps://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x
Data Crunchhttps://datacrunchcorp.com/data-crunch-podcast/
Data Engineering Podcasthttps://www.dataengineeringpodcast.com/
Data Science at Homehttps://datascienceathome.com/
Data Science Mixerhttps://community.alteryx.com/t5/Data-Science-Mixer/bg-p/mixer
Data Skeptichttps://dataskeptic.com/
Data Storieshttps://datastori.es/
Datacasthttps://jameskle.com/writes/category/Datacast
DataFramedhttps://www.datacamp.com/community/podcast
DataTalks.Clubhttps://anchor.fm/datatalksclub
Gradient Dissenthttps://wandb.ai/fully-connected/gradient-dissent
Learning Machines 101https://www.learningmachines101.com/
Let's Data (Brazil)https://www.youtube.com/playlist?list=PLn_z5E4dh_Lj5eogejMxfOiNX3nOhmhmM
Linear Digressionshttps://lineardigressions.com/
Not So Standard Deviationshttps://nssdeviations.com/
O'Reilly Data Show Podcasthttps://www.oreilly.com/radar/topics/oreilly-data-show-podcast/
Partially Derivativehttps://partiallyderivative.com/
Superdatasciencehttps://www.superdatascience.com/podcast/
The Data Engineering Showhttps://www.dataengineeringshow.com/
The Radical AI Podcasthttps://www.radicalai.org/
The Robot Brains Podcasthttps://www.therobotbrains.ai/
What's The Pointhttps://fivethirtyeight.com/tag/whats-the-point/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#books
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
Artificial Intelligence with Python - Tutorialspointhttps://www.tutorialspoint.com/artificial_intelligence_with_python/artificial_intelligence_with_python_tutorial.pdf
Machine Learning from Scratchhttps://dafriedman97.github.io/mlbook/content/introduction.html
Probabilistic Machine Learning: An Introductionhttps://probml.github.io/pml-book/book1.html
A Comprehensive Guide to Machine Learninghttps://www.eecs189.org/static/resources/comprehensive-guide.pdf
Become a Leader in Data Sciencehttps://www.manning.com/books/how-to-lead-in-data-science
Fighting Churn With Datahttps://www.manning.com/books/fighting-churn-with-data
Data Science at Scale with Python and Daskhttps://www.manning.com/books/data-science-with-python-and-dask
Python Data Science Handbookhttps://jakevdp.github.io/PythonDataScienceHandbook/
The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientistshttps://www.thedatasciencehandbook.com/
Think Like a Data Scientisthttps://www.manning.com/books/think-like-a-data-scientist
Introducing Data Sciencehttps://www.manning.com/books/introducing-data-science
Practical Data Science with Rhttps://www.manning.com/books/practical-data-science-with-r
Everyday Data Sciencehttps://www.amazon.com/dp/B08TZ1MT3W/ref=cm_sw_r_cp_apa_fabc_a0ceGbWECF9A8
(cheaper PDF version)https://gum.co/everydaydata
Exploring Data Sciencehttps://www.manning.com/books/exploring-data-science
Exploring the Data Junglehttps://www.manning.com/books/exploring-the-data-jungle
Classic Computer Science Problems in Pythonhttps://www.manning.com/books/classic-computer-science-problems-in-python
Math for Programmershttps://www.manning.com/books/math-for-programmers
R in Action, Third Editionhttps://www.manning.com/books/r-in-action-third-edition
Data Science Bookcamphttps://www.manning.com/books/data-science-bookcamp
Data Science Thinking: The Next Scientific, Technological and Economic Revolutionhttps://www.springer.com/gp/book/9783319950914
Applied Data Science: Lessons Learned for the Data-Driven Businesshttps://www.springer.com/gp/book/9783030118204
The Data Science Handbookhttps://www.amazon.com/Data-Science-Handbook-Field-Cady/dp/1119092949
Essential Natural Language Processinghttps://www.manning.com/books/getting-started-with-natural-language-processing
Mining Massive Datasetshttps://www.mmds.org/
Pandas in Actionhttps://www.manning.com/books/pandas-in-action
Genetic Algorithms and Genetic Programminghttps://www.taylorfrancis.com/books/9780429141973
Advances in Evolutionary Algorithmshttps://www.intechopen.com/books/advances_in_evolutionary_algorithms
Genetic Programming: New Approaches and Successful Applicationshttps://www.intechopen.com/books/genetic-programming-new-approaches-and-successful-applications
Evolutionary Algorithmshttps://www.intechopen.com/books/evolutionary-algorithms
Advances in Genetic Programming, Vol. 3https://www.cs.bham.ac.uk/~wbl/aigp3/
Global Optimization Algorithms: Theory and Applicationhttps://www.it-weise.de/projects/book.pdf
Genetic Algorithms and Evolutionary Computationhttps://www.talkorigins.org/faqs/genalg/genalg.html
Convex Optimizationhttps://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf
Data Analysis with Python and PySparkhttps://www.manning.com/books/data-analysis-with-python-and-pyspark
R for Data Sciencehttps://r4ds.had.co.nz/
Build a Career in Data Sciencehttps://www.manning.com/books/build-a-career-in-data-science
Machine Learning Bookcamphttps://mlbookcamp.com/
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Editionhttps://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
Effective Data Science Infrastructurehttps://www.manning.com/books/effective-data-science-infrastructure
Practical MLOps: How to Get Ready for Production Modelshttps://valohai.com/mlops-ebook/
Data Analysis with Python and PySparkhttps://www.manning.com/books/data-analysis-with-python-and-pyspark
Regression, a Friendly guidehttps://www.manning.com/books/regression-a-friendly-guide
Streaming Systems: The What, Where, When, and How of Large-Scale Data Processinghttps://www.oreilly.com/library/view/streaming-systems/9781491983867/
Data Science at the Command Line: Facing the Future with Time-Tested Toolshttps://www.oreilly.com/library/view/data-science-at/9781491947845/
Machine Learning - CIn UFPEhttps://www.cin.ufpe.br/~cavmj/Machine%20-%20Learning%20-%20Tom%20Mitchell.pdf
Machine Learning with Python - Tutorialspointhttps://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_tutorial.pdf
Deep Learninghttps://www.deeplearningbook.org/
Designing Cloud Data Platformshttps://www.manning.com/books/designing-cloud-data-platforms
An Introduction to Statistical Learning with Applications in Rhttps://www.statlearning.com/
Deep Learning with PyTorchhttps://www.simonandschuster.com/books/Deep-Learning-with-PyTorch/Eli-Stevens/9781617295263
Neural Networks and Deep Learninghttps://neuralnetworksanddeeplearning.com
Deep Learning Cookbookhttps://www.oreilly.com/library/view/deep-learning-cookbook/9781491995839/
Introduction to Machine Learning with Pythonhttps://www.oreilly.com/library/view/introduction-to-machine/9781449369880/
Artificial Intelligence: Foundations of Computational Agents, 2nd Editionhttps://artint.info/index.html
The Quest for Artificial Intelligence: A History of Ideas and Achievementshttps://ai.stanford.edu/~nilsson/QAI/qai.pdf
Graph Algorithms for Data Sciencehttps://www.manning.com/books/graph-algorithms-for-data-science
Data Mesh in Actionhttps://www.manning.com/books/data-mesh-in-action
Julia for Data Analysishttps://www.manning.com/books/julia-for-data-analysis
Dive into Deep Learninghttps://d2l.ai/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#socialize
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Bloggershttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#bloggers
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Newslettershttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#newsletters
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Data Science Competitionshttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#competitions
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#bloggers
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Wes McKinneyhttps://wesmckinney.com/archives.html
Matthew Russellhttps://miningthesocialweb.com/
Greg Redahttps://www.gregreda.com/
Kevin Davenporthttps://kldavenport.com/
Julia Evanshttps://jvns.ca/
Hakan Kardashttps://www.cse.unr.edu/~hkardes/
Sean J. Taylorhttps://seanjtaylor.com/
Drew Conwayhttps://drewconway.com/
Hilary Masonhttps://hilarymason.com/
Noah Iliinskyhttps://complexdiagrams.com/
Matt Harrisonhttps://hairysun.com/
Vamshi Ambatihttps://allthingsds.wordpress.com/
Prash Chanhttps://www.mdmgeek.com/
Clare Corthellhttps://datasciencemasters.org/
Paul Millerhttps://cloudofdata.com/
Data Science Londonhttps://datasciencelondon.org/
Datawranglinghttp://www.datawrangling.org
Quora Data Sciencehttps://www.quora.com/topic/Data-Science
Siahhttps://openresearch.wordpress.com/
Louis Dorardhttps://www.ownml.co/blog/
Machine Learning Masteryhttps://machinelearningmastery.com/
Daniel Forsythhttps://www.danielforsyth.me/
Data Science Weeklyhttps://www.datascienceweekly.org/
Revolution Analyticshttps://blog.revolutionanalytics.com/
R Bloggershttps://www.r-bloggers.com/
The Practical Quanthttps://practicalquant.blogspot.com/
Yet Another Data Bloghttps://yet-another-data-blog.blogspot.com/
Spenczarhttps://spenczar.com/
KD Nuggetshttps://www.kdnuggets.com/
Meta Brownhttps://www.metabrown.com/blog/
Data Scientisthttps://datascientists.net/
WhatSTheBigDatahttps://whatsthebigdata.com/
Tevfik Kosarhttps://magnus-notitia.blogspot.com/
New Data Scientisthttps://newdatascientist.blogspot.com/
Harvard Data Sciencehttps://harvarddatascience.com/
Data Science 101https://ryanswanstrom.com/datascience101/
Kaggle Past Solutionshttps://www.chioka.in/kaggle-competition-solutions/
DataScientistJourneyhttps://datascientistjourney.wordpress.com/category/data-science/
NYC Taxi Visualization Bloghttps://chriswhong.github.io/nyctaxi/
Learning Loverhttps://learninglover.com/blog/
Dataistshttps://www.dataists.com/
Data-Maniahttps://www.data-mania.com/
Data-Magnumhttps://data-magnum.com/
P-valuehttps://www.p-value.info/
datascopeanalyticshttps://datascopeanalytics.com/blog/
Digital transformationhttps://tarrysingh.com/
datascientistjourneyhttps://datascientistjourney.wordpress.com/category/data-science/
Data Mania Bloghttps://www.data-mania.com/blog/
The File Drawerhttps://chris-said.io/
Emilio Ferrara's web pagehttps://www.emilio.ferrara.name/
DataNewshttps://datanews.tumblr.com/
Reddit TextMininghttps://www.reddit.com/r/textdatamining/
Periscopichttps://periscopic.com/#!/news
Hilary Parkerhttps://hilaryparker.com/
Data Storieshttps://datastori.es/
Data Science Labhttps://datasciencelab.wordpress.com/
Meaning ofhttps://www.kennybastani.com/
Adventures in Data Landhttps://blog.smola.org
DATA MINERS BLOGhttps://blog.data-miners.com/
Dataclysmhttps://theblog.okcupid.com/
FlowingDatahttps://flowingdata.com/
Calculated Riskhttps://www.calculatedriskblog.com/
O'reilly Learning Bloghttps://www.oreilly.com/content/topics/oreilly-learning/
Dominodatalabhttps://blog.dominodatalab.com/
i am traskhttps://iamtrask.github.io/
Vademecum of Practical Data Sciencehttps://datasciencevademecum.wordpress.com/
Dataconomyhttps://dataconomy.com/
Springboardhttps://www.springboard.com/blog/
Analytics Vidhyahttps://www.analyticsvidhya.com/
Occam's Razorhttps://www.kaushik.net/avinash/
Data Schoolhttps://www.dataschool.io/
Colah's Bloghttps://colah.github.io
Sebastian's Bloghttps://ruder.io/#open
Distillhttps://distill.pub
Chris Albon's Websitehttps://chrisalbon.com/
Andrew Carrhttps://andrewnc.github.io/blog/blog.html
floydhubhttps://blog.floydhub.com/introduction-to-genetic-algorithms/
Jingleshttps://jinglescode.github.io/
nbsharehttps://www.nbshare.io/notebooks/data-science/
Deep and Shallowhttps://deep-and-shallow.com/
Loic Tetrelhttps://ltetrel.github.io/
Chip Huyen's Bloghttps://huyenchip.com/blog/
Maria Khalusovahttps://www.mariakhalusova.com/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#facebook-accounts
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
Datahttps://www.facebook.com/data
Big Data Scientisthttps://www.facebook.com/Bigdatascientist
Data Science Dayhttps://www.facebook.com/datascienceday/
Data Science Academyhttps://www.facebook.com/nycdatascience
Facebook Data Science Pagehttps://www.facebook.com/pages/Data-science/431299473579193?ref=br_rs
Data Science Londonhttps://www.facebook.com/pages/Data-Science-London/226174337471513
Data Science Technology and Corporationhttps://www.facebook.com/DataScienceTechnologyCorporation?ref=br_rs
Data Science - Closed Grouphttps://www.facebook.com/groups/1394010454157077/?ref=br_rs
Center for Data Sciencehttps://www.facebook.com/centerdatasciences?ref=br_rs
Big data hadoop NOSQL Hive Hbasehttps://www.facebook.com/groups/bigdatahadoop/
Analytics, Data Mining, Predictive Modeling, Artificial Intelligencehttps://www.facebook.com/groups/data.analytics/
Big Data Analytics using Rhttps://www.facebook.com/groups/434352233255448/
Big Data Analytics with R and Hadoophttps://www.facebook.com/groups/rhadoop/
Big Data Learningshttps://www.facebook.com/groups/bigdatalearnings/
Big Data, Data Science, Data Mining & Statisticshttps://www.facebook.com/groups/bigdatastatistics/
BigData/Hadoop Experthttps://www.facebook.com/groups/BigDataExpert/
Data Mining / Machine Learning / AIhttps://www.facebook.com/groups/machinelearningforum/
Data Mining/Big Data - Social Network Anahttps://www.facebook.com/groups/dataminingsocialnetworks/
Vademecum of Practical Data Sciencehttps://www.facebook.com/datasciencevademecum
Veri Bilimi Istanbulhttps://www.facebook.com/groups/veribilimiistanbul/
The Data Science Bloghttps://www.facebook.com/theDataScienceBlog/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#twitter-accounts
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
Big Data Combinehttps://twitter.com/BigDataCombine
Big Data Sciencehttps://twitter.com/analyticbridge
Chris Saidhttps://twitter.com/Chris_Said
Clare Corthellhttps://twitter.com/clarecorthell
DADI Charles-Abnerhttps://twitter.com/DadiCharles
Data Science Centralhttps://twitter.com/DataScienceCtrl
Data Science Londonhttps://twitter.com/ds_ldn
Data Science Reneehttps://twitter.com/BecomingDataSci
Data Science Reporthttps://twitter.com/TedOBrien93
Data Science Tipshttps://twitter.com/datasciencetips
Data Vizzardhttps://twitter.com/DataVisualizati
DataScienceXhttps://twitter.com/DataScienceX
DJ Patilhttps://twitter.com/dpatil
Domino Data Labhttps://twitter.com/DominoDataLab
Drew Conwayhttps://twitter.com/drewconway
Erin Bartolohttps://twitter.com/erinbartolo
Greg Redahttps://twitter.com/gjreda
Gregory Piatetskyhttps://twitter.com/kdnuggets
Hadley Wickhamhttps://twitter.com/hadleywickham
Hakan Kardashttps://twitter.com/hakan_kardes
Hilary Masonhttps://twitter.com/hmason
Jeff Hammerbacherhttps://twitter.com/hackingdata
John Myles Whitehttps://twitter.com/johnmyleswhite
Juan Miguel Lavistahttps://twitter.com/BDataScientist
Julia Evanshttps://twitter.com/b0rk
Kenneth Cukierhttps://twitter.com/kncukier
http://www.big-data-book.com/http://www.big-data-book.com/
https://www.meetup.com/San-Diego-Data-Science-R-Users-Group/https://www.meetup.com/San-Diego-Data-Science-R-Users-Group/
Kevin Markhamhttps://twitter.com/justmarkham
Data Schoolhttps://www.dataschool.io/
Kim Reeshttps://twitter.com/krees
Kirk Bornehttps://twitter.com/KirkDBorne
Luis Reihttps://twitter.com/lmrei
Matt Harrisonhttps://twitter.com/__mharrison__
Matthew Russellhttps://twitter.com/ptwobrussell
Mert Nuhoğluhttps://twitter.com/mertnuhoglu
Monica Rogatihttps://twitter.com/mrogati
Noah Iliinskyhttps://twitter.com/noahi
https://www.oreilly.com/pub/au/4419https://www.oreilly.com/pub/au/4419
Paul Millerhttps://twitter.com/PaulMiller
Peter Skomorochhttps://twitter.com/peteskomoroch
Prash Chanhttps://twitter.com/MDMGeek
Quora Data Sciencehttps://twitter.com/q_datascience
R-Bloggershttps://twitter.com/Rbloggers
Rand Hindihttps://twitter.com/randhindi
Randy Olsonhttps://twitter.com/randal_olson
Recep Erolhttps://twitter.com/EROLRecep
Ryan Orbanhttps://twitter.com/ryanorban
Sean J. Taylorhttps://twitter.com/seanjtaylor
Silvia K. Spivahttps://twitter.com/silviakspiva
Harsh B. Guptahttps://twitter.com/harshbg
Spencer Nelsonhttps://twitter.com/spenczar_n
Talha Ozhttps://twitter.com/tozCSS
Tasos Skarlatidishttps://twitter.com/anskarl
Terry Timkohttps://twitter.com/Terry_Timko
Tony Baerhttps://twitter.com/TonyBaer
Tony Ojedahttps://twitter.com/tonyojeda3
Vamshi Ambatihttps://twitter.com/vambati
https://allthingsds.wordpress.comhttps://allthingsds.wordpress.com
Wes McKinneyhttps://twitter.com/wesmckinn
WileyEdhttps://twitter.com/WileyEd
WNYC Data News Teamhttps://twitter.com/datanews
Alexey Grigorevhttps://twitter.com/Al_Grigor
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AI Digesthttps://aidigest.net/
Archivehttps://aidigest.net/digests
DataTalks.Clubhttps://datatalks.club
Archivehttps://us19.campaign-archive.com/home/?u=0d7822ab98152f5afc118c176&id=97178021aa
The Analytics Engineering Rounduphttps://roundup.getdbt.com/about
Archivehttps://roundup.getdbt.com/archive
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#youtube-videos--channels
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
What is machine learning?https://www.youtube.com/watch?v=WXHM_i-fgGo
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learninghttps://www.youtube.com/watch?v=n1ViNeWhC24
Data36 - Data Science for Beginners by Tomi Mesterhttps://www.youtube.com/c/TomiMesterData36comDataScienceForBeginners
Deep Learning: Intelligence from Big Datahttps://www.youtube.com/watch?v=czLI3oLDe8M
Interview with Google's AI and Deep Learning 'Godfather' Geoffrey Hintonhttps://www.youtube.com/watch?v=1Wp3IIpssEc
Introduction to Deep Learning with Pythonhttps://www.youtube.com/watch?v=S75EdAcXHKk
What is machine learning, and how does it work?https://www.youtube.com/watch?v=elojMnjn4kk
Data Schoolhttps://www.youtube.com/channel/UCnVzApLJE2ljPZSeQylSEyg
Neural Nets for Newbies by Melanie Warrick (May 2015)https://www.youtube.com/watch?v=Cu6A96TUy_o
Neural Networks video series by Hugo Larochellehttps://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH
Google DeepMind co-founder Shane Legg - Machine Super Intelligencehttps://www.youtube.com/watch?v=evNCyRL3DOU
Data Science Primerhttps://www.youtube.com/watch?v=cHzvYxBN9Ls&list=PLPqVjP3T4RIRsjaW07zoGzH-Z4dBACpxY
Data Science with Genetic Algorithmshttps://www.youtube.com/watch?v=lpD38NxTOnk
Data Science for Beginnershttps://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
DataTalks.Clubhttps://www.youtube.com/channel/UCDvErgK0j5ur3aLgn6U-LqQ
Mildlyoverfitted - Tutorials on intermediate ML/DL topicshttps://www.youtube.com/channel/UCYBSjwkGTK06NnDnFsOcR7g
mlops.community - Interviews of industry experts about production MLhttps://www.youtube.com/channel/UCYBSjwkGTK06NnDnFsOcR7g
ML Street Talk - Unabashedly technical and non-commercial, so you will hear no annoying pitches.https://www.youtube.com/c/machinelearningstreettalk
Neural networks by 3Blue1Brown https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Neural networks from scratch by Sentdexhttps://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3
Manning Publications YouTube channelhttps://www.youtube.com/c/ManningPublications/featured
Ask Dr Chong: How to Lead in Data Science - Part 1https://youtu.be/JYuQZii5o58
Ask Dr Chong: How to Lead in Data Science - Part 2https://youtu.be/SzqIXV-O-ko
Ask Dr Chong: How to Lead in Data Science - Part 3https://youtu.be/Ogwm7k_smTA
Ask Dr Chong: How to Lead in Data Science - Part 4https://youtu.be/a9usjdzTxTU
Ask Dr Chong: How to Lead in Data Science - Part 5https://youtu.be/MYdQq-F3Ws0
Ask Dr Chong: How to Lead in Data Science - Part 6https://youtu.be/LOOt4OVC3hY
Regression Models: Applying simple Poisson regressionhttps://www.youtube.com/watch?v=9Hk8K8jhiOo
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#telegram-channels
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
Open Data Sciencehttps://t.me/opendatascience
Loss function pornhttps://t.me/loss_function_porn
Machinelearninghttps://t.me/ai_machinelearning_big_data
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#slack-communities
tophttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science
DataTalks.Clubhttps://datatalks.club
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#github-groups
Berkeley Institute for Data Sciencehttps://github.com/BIDS
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#competitions
Kagglehttps://www.kaggle.com/
DrivenDatahttps://www.drivendata.org/
Analytics Vidhyahttps://datahack.analyticsvidhya.com/
InnoCentivehttps://www.innocentive.com/
Micropredictionhttps://www.microprediction.com/python-1
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#fun
Infographichttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#infographic
Data Setshttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#data-sets
Comicshttps://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#comics
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#infographic
https://i.imgur.com/0OoLaa5.png
Key differences of a data scientist vs. data engineerhttps://searchbusinessanalytics.techtarget.com/feature/Key-differences-of-a-data-scientist-vs-data-engineer
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/DataScienceEightSteps_Full.png
DataCamphttps://www.datacamp.com
(img)https://s3.amazonaws.com/assets.datacamp.com/blog_assets/DataScienceEightSteps_Full.png
https://i.imgur.com/FxsL3b8.png
imghttps://i.imgur.com/FxsL3b8.png
https://nirvacana.com/thoughts/wp-content/uploads/2013/07/RoadToDataScientist1.png
Curriculum via Metro maphttp://nirvacana.com/thoughts/2013/07/08/becoming-a-data-scientist/
https://i.imgur.com/4ZBBvb0.png
@kzawadzhttps://twitter.com/kzawadz
twitterhttps://twitter.com/MktngDistillery/status/538671811991715840
https://i.imgur.com/xLY3XZn.jpg
Data Science Centralhttps://www.datasciencecentral.com/
https://i.imgur.com/0TydZ4M.png
https://i.imgur.com/HnRwlce.png
https://scikit-learn.org/stable/_static/ml_map.png
https://i.imgur.com/uEqMwZa.png
https://i.imgur.com/RsHqY84.png
https://www.springboard.com/blog/wp-content/uploads/2016/03/20160324_springboard_vennDiagram.png
this articlehttps://www.springboard.com/blog/data-science-career-paths-different-roles-industry/
https://data-literacy.geckoboard.com/poster/
how to avoid mistakes with datahttps://data-literacy.geckoboard.com/poster/
Data Literacy Lessonshttps://data-literacy.geckoboard.com/
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#data-sets
Academic Torrentshttps://academictorrents.com/
hadoopilluminated.comhttps://hadoopilluminated.com/hadoop_illuminated/Public_Bigdata_Sets.html
data.govhttps://catalog.data.gov/dataset
United States Census Bureauhttps://www.census.gov/
usgovxml.comhttps://usgovxml.com/
enigma.comhttps://enigma.com/
datahub.iohttps://datahub.io/
aws.amazon.com/datasetshttps://aws.amazon.com/datasets/
datacite.orghttps://datacite.org/
The official portal for European datahttps://data.europa.eu/en
NASDAQ:DATAhttps://data.nasdaq.com/
figshare.comhttps://figshare.com/
GeoLite Legacy Downloadable Databaseshttps://dev.maxmind.com/geoip
Quora's Big Datasets Answerhttps://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public
Public Big Data Setshttps://hadoopilluminated.com/hadoop_illuminated/Public_Bigdata_Sets.html
Kaggle Datasetshttps://www.kaggle.com/datasets
A Deep Catalog of Human Genetic Variationhttps://www.internationalgenome.org/data
A community-curated database of well-known people, places, and thingshttps://developers.google.com/freebase/
Google Public Datahttps://www.google.com/publicdata/directory
World Bank Datahttps://data.worldbank.org/
NYC Taxi datahttps://chriswhong.github.io/nyctaxi/
Open Data Phillyhttps://www.opendataphilly.org/
grouplens.orghttps://grouplens.org/datasets/
UC Irvine Machine Learning Repositoryhttps://archive.ics.uci.edu/ml/
research-quality data setshttps://web.archive.org/web/20150320022752/https://bitly.com/bundles/hmason/1
Hilary Masonhttps://web.archive.org/web/20150501033715/https://bitly.com/u/hmason/bundles
National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
ClimateData.ushttps://www.climatedata.us/
U.S. Climate Resilience Toolkithttps://toolkit.climate.gov/
r/datasetshttps://www.reddit.com/r/datasets/
MapLighthttps://www.maplight.org/data-series
GHDxhttps://ghdx.healthdata.org/
St. Louis Federal Reserve Economic Data - FREDhttps://fred.stlouisfed.org/
New Zealand Institute of Economic Research – Data1850https://data1850.nz/
Open Data Sourceshttps://github.com/datasciencemasters/data
UNICEF Datahttps://data.unicef.org/
undatahttps://data.un.org/
NASA SocioEconomic Data and Applications Center - SEDAChttps://sedac.ciesin.columbia.edu/
The GDELT Projecthttps://www.gdeltproject.org/
Sweden, Statisticshttps://www.scb.se/en/
StackExchange Data Explorerhttps://data.stackexchange.com
SocialGrephttps://socialgrep.com/datasets
San Fransisco Government Open Datahttps://datasf.org/opendata/
IBM Asset Datasethttps://developer.ibm.com/exchanges/data/
Open data Indexhttps://index.okfn.org/
Public Git Archivehttps://github.com/src-d/datasets/tree/master/PublicGitArchive
GHTorrenthttps://ghtorrent.org/
Microsoft Research Open Datahttps://msropendata.com/
Open Government Data Platform Indiahttps://data.gov.in/
Google Dataset Search (beta)https://datasetsearch.research.google.com/
NAYN.CO Turkish News with categorieshttps://github.com/naynco/nayn.data
Covid-19https://github.com/datasets/covid-19
Covid-19 Googlehttps://github.com/google-research/open-covid-19-data
Enron Email Datasethttps://www.cs.cmu.edu/~./enron/
5000 Images of Clotheshttps://github.com/alexeygrigorev/clothing-dataset
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#comics
Comic compilationhttps://medium.com/@nikhil_garg/a-compilation-of-comics-explaining-statistics-data-science-and-machine-learning-eeefbae91277
Cartoonshttps://www.kdnuggets.com/websites/cartoons.html
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#awesome-data-science-1
https://github.com/sindresorhus/awesome
https://app.releasly.co/sites/academic/awesome-datascience?utm_source=github_badge
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#hobby
Awesome Music Productionhttps://github.com/ad-si/awesome-music-production
https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#other-lists
awesome-awesomenesshttps://github.com/bayandin/awesome-awesomeness
Awesome Machine Learninghttps://github.com/josephmisiti/awesome-machine-learning
listshttps://github.com/jnv/lists
awesome-datavizhttps://github.com/javierluraschi/awesome-dataviz
awesome-pythonhttps://github.com/vinta/awesome-python
Data Science IPython Notebooks.https://github.com/donnemartin/data-science-ipython-notebooks
awesome-rhttps://github.com/qinwf/awesome-R
awesome-datasetshttps://github.com/awesomedata/awesome-public-datasets
awesome-Machine Learning & Deep Learning Tutorialshttps://github.com/ujjwalkarn/Machine-Learning-Tutorials/blob/master/README.md
Awesome Data Science Ideashttps://github.com/JosPolfliet/awesome-ai-usecases
Machine Learning for Software Engineershttps://github.com/ZuzooVn/machine-learning-for-software-engineers
Community Curated Data Science Resourceshttps://hackr.io/tutorials/learn-data-science
Awesome Machine Learning On Source Codehttps://github.com/src-d/awesome-machine-learning-on-source-code
Awesome Community Detectionhttps://github.com/benedekrozemberczki/awesome-community-detection
Awesome Graph Classificationhttps://github.com/benedekrozemberczki/awesome-graph-classification
Awesome Decision Tree Papershttps://github.com/benedekrozemberczki/awesome-decision-tree-papers
Awesome Fraud Detection Papershttps://github.com/benedekrozemberczki/awesome-fraud-detection-papers
Awesome Gradient Boosting Papershttps://github.com/benedekrozemberczki/awesome-gradient-boosting-papers
Awesome Computer Vision Modelshttps://github.com/nerox8664/awesome-computer-vision-models
Awesome Monte Carlo Tree Searchhttps://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers
Glossary of common statistics and ML termshttps://www.analyticsvidhya.com/glossary-of-common-statistics-and-machine-learning-terms/
100 NLP Papershttps://github.com/mhagiwara/100-nlp-papers
Awesome Game Datasetshttps://github.com/leomaurodesenv/game-datasets#readme
Data Science Interviews Questionshttps://github.com/alexeygrigorev/data-science-interviews
Awesome Explainable Graph Reasoninghttps://github.com/AstraZeneca/awesome-explainable-graph-reasoning
Top Data Science Interview Questionshttps://www.interviewbit.com/data-science-interview-questions/
Awesome Drug Synergy, Interaction and Polypharmacy Predictionhttps://github.com/AstraZeneca/awesome-drug-pair-scoring
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Readme https://patch-diff.githubusercontent.com/saurzcode/awesome-datascience#readme-ov-file
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