A Julia package for simulations on random trees.
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Updated
Apr 6, 2020 - Jupyter Notebook
A Julia package for simulations on random trees.
Object Detection using hog descriptor and Random forest
A collection of python scripts for generating random dependency trees.
Developed a ML assisted stock trading strategy to long or short a stock by training a random forest learner (random tree with bagging), details see the Final-Project-Report.
Sorbonne Université Master 2 Cours MU5IN550
OpenCV Machine Learning samples
Soccer match predictions using machine learning techniques, including data preprocessing and cleanup, feature extraction and derivation, and model optimization. Done as a final project for CS4840 - Intro to Machine Learning.
Feature Engineering with binary variables from random trees
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