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Title: GitHub - cuatex1/ipython-notebooks: A collection of IPython notebooks covering various topics.

Open Graph Title: GitHub - cuatex1/ipython-notebooks: A collection of IPython notebooks covering various topics.

X Title: GitHub - cuatex1/ipython-notebooks: A collection of IPython notebooks covering various topics.

Description: A collection of IPython notebooks covering various topics. - cuatex1/ipython-notebooks

Open Graph Description: A collection of IPython notebooks covering various topics. - cuatex1/ipython-notebooks

X Description: A collection of IPython notebooks covering various topics. - cuatex1/ipython-notebooks

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README.mdhttps://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#ipython-notebooks
https://notebooks.azure.com/import/gh/jdwittenauer/ipython-notebooks
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#language
Introduction To Pythonhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/language/Intro.ipynb
IPython Magic Commandshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/language/IPythonMagic.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#libraries
NumPyhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/NumPy.ipynb
SciPyhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/SciPy.ipynb
Matplotlibhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/Matplotlib.ipynb
Pandashttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/Pandas.ipynb
Statsmodelshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/Statsmodels.ipynb
Scikit-learnhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/Scikit-learn.ipynb
Seabornhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/Seaborn.ipynb
NetworkXhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/NetworkX.ipynb
PyMChttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/PyMC.ipynb
NLTKhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/NLTK.ipynb
DEAPhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/DEAP.ipynb
Gensimhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/libraries/Gensim.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#machine-learning-exercises
Exercise 1 - Linear Regressionhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise1.ipynb
Exercise 2 - Logistic Regressionhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise2.ipynb
Exercise 3 - Multi-Class Classificationhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise3.ipynb
Exercise 4 - Neural Networkshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise4.ipynb
Exercise 6 - Support Vector Machineshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise6.ipynb
Exercise 7 - K-Means Clustering & PCAhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise7.ipynb
Exercise 8 - Anomaly Detection & Recommendation Systemshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/ml/ML-Exercise8.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#tensorflow-deep-learning-exercises
Assignment 1 - Intro & Data Prephttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/tensorflow/Tensorflow-1-NotMNIST.ipynb
Assignment 2 - Regression & Neural Netshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/tensorflow/Tensorflow-2-FullyConnected.ipynb
Assignment 3 - Regularizationhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/tensorflow/Tensorflow-3-Regularization.ipynb
Assignment 4 - Convolutionshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/tensorflow/Tensorflow-4-Convolutions.ipynb
Assignment 5 - Word Embeddingshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/tensorflow/Tensorflow-5-Word2Vec.ipynb
Assignment 6 - Recurrent Netshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/tensorflow/Tensorflow-6-LSTM.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#spark-big-data-labs
Lab 0 - Learning Apache Sparkhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-Lab0-Tutorial.ipynb
Lab 1 - Building A Word Count Applicationhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-Lab1-WordCount.ipynb
Lab 2 - Web Server Log Analysishttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-Lab2-ApacheLog.ipynb
Lab 3 - Text Analysis & Entity Resolutionhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-Lab3-EntityResolution.ipynb
Lab 4 - Introduction To Machine Learninghttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-Lab4-MachineLearning.ipynb
ML Lab 3 - Linear Regressionhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-ML-Lab3-LinearRegression.ipynb
ML Lab 4 - Click-Through Rate Predictionhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-ML-Lab4-CriteoPrediction.ipynb
ML Lab 5 - Principal Component Analysishttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/spark/Spark-ML-Lab5-NeuroPCA.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#fastai-lessons
Lesson 1 - Image Classificationhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson1.ipynb
Lesson 2 - Multi-label Classificationhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson2.ipynb
Lesson 3 - Structured And Time Series Datahttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson3.ipynb
Lesson 4 - Sentiment Classificationhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson4.ipynb
Lesson 5 - Recommendation Using Deep Learninghttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson5.ipynb
Lesson 6 - Language Modeling With RNNshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson6.ipynb
Lesson 7 - Convolutional Networks In Detailhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/fastai/Fastai-Lesson7.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#deep-learning-with-keras
Part 1 - Structured And Time Series Datahttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/keras/StructuredTimeSeries.ipynb
Part 2 - Convolutional Networkshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/keras/ConvolutionalNetworks.ipynb
Part 3 - Recommender Systemshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/keras/RecommenderSystems.ipynb
Part 4 - Recurrent Networkshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/keras/RecurrentNetworks.ipynb
Part 5 - Anomaly Detectionhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/keras/AnomalyDetection.ipynb
Part 6 - Generative Adversarial Networkshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/keras/GenerativeAdversarialNetworks.ipynb
https://patch-diff.githubusercontent.com/cuatex1/ipython-notebooks#misc
Comparison Of Various Code Optimization Methodshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/CodeOptimization.ipynb
A Simple Time Series Analysis of the S&P 500 Indexhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/TimeSeriesStockAnalysis.ipynb
An Intro To Probablistic Programminghttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/ProbablisticProgramming.ipynb
Language Exploration Using Vector Space Modelshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/LanguageVectors.ipynb
Solving Problems With Dynamic Programminghttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/DynamicProgramming.ipynb
Time Series Forecasting With Prophethttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/ProphetForecasting.ipynb
Markov Chains From Scratchhttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/MarkovChains.ipynb
A Sampling Of Monte Carlo Methodshttp://nbviewer.ipython.org/github/jdwittenauer/ipython-notebooks/blob/master/notebooks/misc/MonteCarlo.ipynb
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