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Title: GitHub - specialfuture/MachineLearningPractice: Some practices using statistical machine learning technique based on some dataset. (notes and doing from scratch)

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Description: Some practices using statistical machine learning technique based on some dataset. (notes and doing from scratch) - specialfuture/MachineLearningPractice

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https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/commits/master/
Algorithmhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/tree/master/Algorithm
Algorithmhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/tree/master/Algorithm
Datasetshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/tree/master/Datasets
Datasetshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/tree/master/Datasets
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/tree/master/Notes
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/tree/master/Notes
.gitignorehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/.gitignore
.gitignorehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/.gitignore
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README.mdhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#machine-learning-practice
Deep Learninghttps://github.com/daviddwlee84/DeepLearningPractice
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#environment
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#dependencies
Scikit Learnhttp://scikit-learn.org/
cvxopthttp://cvxopt.org/
gensimhttps://radimrehurek.com/gensim/index.html
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#projects
Letter Recognition Datasetshttps://archive.ics.uci.edu/ml/datasets/letter+recognition
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/letter-recognition.csv
kNN From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/kNN/kNN_Letter_Recognition/kNN_Letter_Recognition_FromScratch.py
kNN Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/kNN/kNN_Letter_Recognition/kNN_Letter_Recognition_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Letter_Recognition.md
Page Blocks Classification Data Sethttps://archive.ics.uci.edu/ml/datasets/Page+Blocks+Classification
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/page-blocks.csv
Decision Tree (CART) From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/DecisionTree/DecisionTree_Page_Blocks_Classification/DecisionTree_Page_Blocks_Classification_FromScratch.py
Decision Tree Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/DecisionTree/DecisionTree_Page_Blocks_Classification/DecisionTree_Page_Blocks_Classification_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Page_Blocks_Classification.md
CSM Dataset (2014 and 2015)https://archive.ics.uci.edu/ml/datasets/CSM+%28Conventional+and+Social+Media+Movies%29+Dataset+2014+and+2015
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/2014-and-2015-CSM-dataset.csv
Linear Regression From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/LinearRegression/LinearRegression_CSM/LinearRegression_CSM_FromScratch.py
Linear Regression Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/LinearRegression/LinearRegression_CSM/LinearRegression_CSM_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/CSM.md
Nursery Data Sethttps://archive.ics.uci.edu/ml/datasets/nursery
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/nursery.csv
Gaussian Naive Bayes From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/NaiveBayes/NaiveBayes_Nursery/NaiveBayes_Nursery_FromScratch.py
Gaussian Naive Bayes Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/NaiveBayes/NaiveBayes_Nursery/NaiveBayes_Nursery_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Nursery.md
Post-Operative Patient Data Sethttp://archive.ics.uci.edu/ml/datasets/post-operative+patient
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/post-operative.csv
Simplifiedhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/post-operative-binary.csv
SVM From Scratch (using cvxopt and simplified dataset)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVM/SVM_Post_Operative_Patient/SVM_Post_Operative_Patient_Simplified_FromScratch.py
SVM Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVM/SVM_Post_Operative_Patient/SVM_Post_Operative_Patient_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Postoperative_Patient.md
Student Performance Data Sethttps://archive.ics.uci.edu/ml/datasets/Student+Performance
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/student-mat.csv
AdaBoost From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/AdaBoost/AdaBoost_Student_Performance/AdaBoost_Student_Performance_FromScratch.py
AdaBoost Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/AdaBoost/AdaBoost_Student_Performance/AdaBoost_Student_Performance_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Student_Performance.md
Sales Transactions Dataset Weeklyhttp://archive.ics.uci.edu/ml/datasets/sales_transactions_dataset_weekly
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/Sales_Transactions_Dataset_Weekly.csv
k-Means From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/KMeans/KMeans_Sales_Transactions/KMeans_Sales_Transactions_FromScratch.py
k-Means Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/KMeans/KMeans_Sales_Transactions/KMeans_Sales_Transactions_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Sales_Transactions.md
Retail Market Basket Data Sethttp://fimi.ua.ac.be/data/
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/retail.csv
FP-Growth From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/FP-Growth/FP-Growth_Frequent_Itemset_Mining/FP-Growth_Frequent_Itemset_Mining_FromScratch.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Frequent_Itemset_Mining.md
Automobile Data Sethttp://archive.ics.uci.edu/ml/datasets/Automobile
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/imports-85.csv
PCA From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/PCA/PCA_Automobile/PCA_Automobile_FromScratch.py
PCA Scikit Learnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/PCA/PCA_Automobile/PCA_Automobile_sklearn.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Automobile.md
Anonymous Microsoft Web Data Data Sethttps://archive.ics.uci.edu/ml/datasets/Anonymous+Microsoft+Web+Data
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/anonymous-msweb.csv
Ratings Matrixhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/MS_ratings_matrix.csv
(by R)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVD/SVD_Anonymous_Microsoft_Web_Data/Binary_Rating_Matrix.R
SVD From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVD/SVD_Anonymous_Microsoft_Web_Data/SVD_Anonymous_Microsoft_Web_Data_FromScratch.py
R Notebook - IBCF Recommender Systemhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVD/SVD_Anonymous_Microsoft_Web_Data/R_Notebook_IBCF_Recommender_System.Rmd
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Anonymous_Microsoft_Web_Data.md
MNISThttp://yann.lecun.com/exdb/mnist/
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/MNIST.csv
Binary SVM From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVM/SVM_MNIST/SVM_MNIST_Binary_FromScratch.py
Multi-class (OVR) SVM From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVM/SVM_MNIST/SVM_MNIST_Multiclass_FromScratch.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/MNIST.md
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/Article/%E9%9B%85%E9%87%8F.txt
HMM From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/HMM/HMM_Text_Segmentation/HMM_FromScratch.py
HMM hmmlearnhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/HMM/HMM_Text_Segmentation/HMMLearn.py
Compare with Jieba and HanLPhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/HMM/HMM_Text_Segmentation/CompareJiebaHanLP.py
Corpus of the People's Dailyhttp://dx.doi.org/10.18170/DVN/SEYRX5
Filehttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Datasets/Article/199801_clear_1.txt
VSM From Scratchhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/VSM/VSM_Document_Similarity/VSM_Document_Similarity_FromScratch.py
VSM Gensimhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/VSM/VSM_Document_Similarity/VSM_Document_Similarity_Gensim.py
SVD/LSI Gensimhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVD/SVD_LSI_Document_Similarity/SVD_LSI_Document_Similarity_Gensim.py
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Document_Similarity_LSI.md
Ali-CCPhttps://tianchi.aliyun.com/datalab/dataSet.html?spm=5176.100073.0.0.2d186fc1w0MXC3&dataId=408
Noteshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Subject/Ali-CCP.md
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#machine-learning-categories
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#consider-the-learning-task
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#cosider-the-desired-output-of-a-ml-system
Logistic Regressionhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/LogisticRegression/LogisticRegression.md
k-Nearest Neighbors (kNN)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/kNN/kNN.md
Support Vector Machine (SVM)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVM/SVM.md
Deductionhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVM/SVMDeduction.md
Naive Bayeshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/NaiveBayes/NaiveBayes.md
Decision Tree (ID3, C4.5, CART)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/DecisionTree/DecisionTree.md
Linear Regressionhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/LinearRegression/LinearRegression.md
Tree (CART)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/DecisionTree/DecisionTree.md
k-Meanshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/KMeans/KMeans.md
Apriorihttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/Apriori/Apriori.md
FP-growthhttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/FP-Growth/FP-Growth.md
Principal Compnent Analysis (PCA)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/PCA/PCA.md
Single Value Decomposition (SVD)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/SVD/SVD.md
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#ensemble-method-meta-algorithm
AdaBoosthttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/AdaBoost/AdaBoost.md
Gradient Boostinghttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/GradientBoosting/GradientBoosting.md
XGBoosthttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/XGBoost/XGBoost.md
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#others
Hidden Markov Model (HMM)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/HMM/HMM.md
Conditional Random Field (CRF)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/CRF/CRF.md
Vector Space Model (VSM)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Algorithm/VSM/VSM.md
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Data Mininghttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/DataMining.md
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Multivariable Derativeshttps://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Math/Calculus/MultivariableDeratives.md
Maximum Likelihood Estimation (MLE)https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice/blob/master/Notes/Math/Probability/MLE.md
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https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#application
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#books-recommendation
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#machine-learning
Machine Learning in Actionhttps://www.manning.com/books/machine-learning-in-action
Source Codehttps://manning-content.s3.amazonaws.com/download/3/29c6e49-7df6-4909-ad1d-18640b3c8aa9/MLiA_SourceCode.zip
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#mathematics
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#resources
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#tutorial
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#videos
Google - Machine Learning Recipes with Josh Gordonhttps://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
Josh Gordon's Repositoryhttps://github.com/random-forests
Youtube - Machine Learning Fun and Easyhttps://www.youtube.com/playlist?list=PL_Nji0JOuXg2udXfS6nhK3CkIYLDtHNLp
Siraj Raval - The Math of Intelligencehttps://www.youtube.com/playlist?list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D
Siraj Raval's Repositoryhttps://github.com/llSourcell
bilibili - 機器學習 - 白板推導系列https://github.com/shuhuai007/Machine-Learning-Session
bilibili - 機器學習升級版https://www.bilibili.com/video/av22660033/
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#documentations
ApacheCNhttp://ailearning.apachecn.org/
Github - AiLearninghttps://github.com/apachecn/AiLearning
Official Website - ApacheCN 中文開源組織http://www.apachecn.org/
Machine learning 101 (infographics)http://usblogs.pwc.com/emerging-technology/machine-learning-101/
Machine learning overview (infographic)http://usblogs.pwc.com/emerging-technology/a-look-at-machine-learning-infographic/
Machine learning methods (infographic)http://usblogs.pwc.com/emerging-technology/machine-learning-methods-infographic/
Machine learning evolution (infographic)http://usblogs.pwc.com/emerging-technology/machine-learning-evolution-infographic/
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#interactive-learning
Google Machine Learning Crash Coursehttps://developers.google.com/machine-learning/crash-course/
Kaggle Learn Machine Learninghttps://www.kaggle.com/learn/machine-learning
Microsoft Professional Program - Artificial Intelligence trackhttps://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#mooc
Stanford Andrew Ng - CS229http://cs229.stanford.edu/
Courserahttps://www.coursera.org/learn/machine-learning
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#github
Machine Learning from Scratch (eriklindernoren/ML-From-Scratch)https://github.com/eriklindernoren/ML-From-Scratch
Machine learning Resourceshttps://github.com/jindongwang/MachineLearning
Jack-Cherish/Machine-Learninghttps://github.com/Jack-Cherish/Machine-Learning
Doraemonzzz/Learning-from-datahttps://github.com/Doraemonzzz/Learning-from-data
WenDesi/lihang_book_algorithmhttps://github.com/WenDesi/lihang_book_algorithm
bloghttps://blog.csdn.net/wds2006sdo/article/category/6314784
fengdu78/lihang-codehttps://github.com/fengdu78/lihang-code
wzyonggege/statistical-learning-methodhttps://github.com/wzyonggege/statistical-learning-method
Dod-o/Statistical-Learning-Method_Codehttps://github.com/Dod-o/Statistical-Learning-Method_Code
bloghttp://www.pkudodo.com/
fengdu78/Coursera-ML-AndrewNg-Noteshttps://github.com/fengdu78/Coursera-ML-AndrewNg-Notes
fengdu78/deeplearning_ai_bookshttps://github.com/fengdu78/deeplearning_ai_books
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#datasets
UCI Machine Learning Repositoryhttps://archive.ics.uci.edu/ml/index.html
Awesome Public Datasetshttps://github.com/awesomedata/awesome-public-datasets
Kaggle Datasetshttps://www.kaggle.com/datasets
The MNIST Database of handwritten digitshttp://yann.lecun.com/exdb/mnist/
資料集平台 Data Markethttps://scidm.nchc.org.tw/
AI Challenger Datasetshttps://challenger.ai/datasets/
Peking University Open Research Datahttp://opendata.pku.edu.cn/
Open Images Datasethttps://storage.googleapis.com/openimages/web/index.html
githubhttps://github.com/openimages/dataset
Alibaba Cloud Tianchi Data Labhttps://tianchi.aliyun.com/datalab/index.htm
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#machine-learning-platform
Kagglehttps://www.kaggle.com/
OpenMLhttps://www.openml.org/
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#machine-learning-tool
AutoMLhttps://www.automl.org/
Auto-sklearnhttps://automl.github.io/auto-sklearn
githubhttps://github.com/automl/auto-sklearn
https://patch-diff.githubusercontent.com/specialfuture/MachineLearningPractice#online-development-environment
Google Colaboratoryhttps://colab.research.google.com/
Kaggle Kernelshttps://www.kaggle.com/kernels
Intel AI DevCloudhttps://software.intel.com/en-us/ai-academy/devcloud
jupyter notebookhttps://jupyter.org/
Extension pluginhttps://github.com/ipython-contrib/jupyter_contrib_nbextensions
Jupyter Themehttps://github.com/dunovank/jupyter-themes
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