Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )
Overview
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Fourier-Bayesian estimation of stochastic volatility models
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Crunchdao - Python API for the Crunchdao machine learning tournament
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This jupyter notebook project was completed by me and my friend using the dataset from Kaggle
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LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading
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CobraML: Completely Customizable A python ML library designed to give the end user full control
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A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
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Code for the TCAV ML interpretability project
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Decision tree is the most powerful and popular tool for classification and prediction
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We have a dataset of user performances. The project is to develop a machine learning model that will predict the salaries of baseball players.
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Dragonfly is an open source python library for scalable Bayesian optimisation.
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