Name		Name	Last commit message	Last commit date
Reinforcement Learning		Reinforcement Learning
TensorFlow		TensorFlow
Data Engineering 3 - Data Cleaning.ipynb		Data Engineering 3 - Data Cleaning.ipynb
Data Engineering 4 - Data Encoding.ipynb		Data Engineering 4 - Data Encoding.ipynb
Data Engineering 5 - Visualization2.ipynb		Data Engineering 5 - Visualization2.ipynb
Data Engineering 6 - Transformations.ipynb		Data Engineering 6 - Transformations.ipynb
Data Engineering 7 - Bias Discovery and Goal Focus 1.ipynb		Data Engineering 7 - Bias Discovery and Goal Focus 1.ipynb
Feature Engineering 1 - Principal Component Analysis.ipynb		Feature Engineering 1 - Principal Component Analysis.ipynb
Feature Engineering 2 - t-SNE.ipynb		Feature Engineering 2 - t-SNE.ipynb
Hyperparameter Optimization - Grid Search.ipynb		Hyperparameter Optimization - Grid Search.ipynb
README.md		README.md
Time Series Analysis - Autocorrelation and Cross Correlation.ipynb		Time Series Analysis - Autocorrelation and Cross Correlation.ipynb
Time Series Analysis - Filtering _ Visualizing.ipynb		Time Series Analysis - Filtering _ Visualizing.ipynb
plot_compare_methods.ipynb		plot_compare_methods.ipynb
plot_t_sne_perplexity.ipynb		plot_t_sne_perplexity.ipynb

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Data-Science

Data analytics code in Python

Data Cleaning
Data Encoding
Visualization
Transformation
Bias Discovery and Goal Focus
Feature Engineering -- Principal Components Analysis (PCA)
Feature Engineering -- T-SNE
Time Series
Grid Search

TensorFlow

Reinforcement Learning

MDP, MRP
Policy iteration and Value iteration in simple gridworld

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Data analytics code in Python. (t-SNE, PCA, grid-search, time series, TensorFlow & Reinforcement Learning )

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