random-forest topic
decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
rrcf
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical...
decision-tree-js
Small JavaScript implementation of ID3 Decision tree
Machine_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
Textclassification
several methods for text classification
ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
YouTube-Like-predictor
YouTube Like Count Predictions using Machine Learning
The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science