All Notebooks

Session	Notebooks
2	Python Overview - Basic Data Structures - Numpy - Pandas -
4	Conditional-Loops - Functions - Null Values - Groupby and Pivot Tables - Kaggle Baseline -
6	Twitter - Web Mining - Visualizations - Seaborn - Strings - Regular Expressions - Feature Dummies - Matplotlib -
8	The Simplest Neural Network with Numpy - Train Test Split - Introduction to Logistic Regression - K Nearest Neighbor -
9
10	Introduction to R - Local Files - Data Structures - Dataframes - Functions - Conditional-Loops - Aggregation and Merge - Tidyvere - Titanic -
12	Regression - Matrix - Boston Housing - Ridge and Lasso - Stats Models -
14	PCA - PCA Alt - Cluster Analysis - Feature Selection and Importance -
16	Titanic Feature Creation - Corpus Simple - Scikit Learn Text - What’s Cooking Python - Bag of Popcorn Bag of Words - Sentiment - Overview of NLP - FAST.ai NLP -
18	Intoduction to MapReduce - Introduction to Spark - Introduction to Time Series - Rossman Store Sales -
20	Neural Networks - Tensors - Pytorch IRIS - Covnet - Pytorch Mnist - Regression - Titanic FastAI - Ludwig - Evaluation -
22	TF-Keras - TF-training - TF-data - TF-CNN - TF-RNN - TF-NLP - TF-Autoencoder and Gan -