Exploring Machine Learning

Machine learning algorithms implementation in python with references, and with sketchy explanations.

By opening .ipynb files in corresponding directories you'll see a notebook with the explanation.

Currently explored algorithms:

• Logistic regression
• Linear regression
• Principal Component Analysis

Next algorithms:

• Decision trees (classification and regression)
• Support Vector Machine

In plans:

• Gradient boosted decision trees
• k-means
• Naive bayes
• Gradient Boosted Decision Trees
• Naive Bayes
• K-Nearest Neighbors
• Learning Vector Quantization
• Back propagation neural network
• Deep NN's
• LSTM
• CNN

Contacts

Reddit: /u/Arkady_A Twitter: @Arkady_Ast