Machine Learning Algorithms, Implemented in TensorFlow

This is a repository of ML algorithms I have implemented in TensorFlow. The goal of this project was

1. To implement these algorithms from a low level, in order to better understand them
2. To learn TensorFlow at a deeper level than basic tutorials would allow

I would highly recommend this task to anybody seeking to accomplish either objective.

The algorithms implemented are:

• OLS (Ordinary Least Squares Regression)
• Logit (Logistic Regression)
• KMeans (K-Means Clustering)
• KNN (K-Nearest Neighbors)
• PageRank (Google's algorithm for ranking search results)
• MLP (Multilayer Perceptrion - a Basic Feed-Forward Neural Network)
• Autoencoder
• RNN (Recurrent Neural Network)

My hope is to continue adding algorithms and improving these implementations with time.