Livingston's repositories
presentations
Slide show presentations regarding data driven investing.
python_zero
ゼロから学ぶPython
research_public
Quantitative research and educational materials
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
example-scripts
Example Machine Learning Scripts for Numerai's Tournament
finmarketpy
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
intro-to-python
An introduction to Python and programming for wanna-be data scientists
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
machine-learning-for-trading
Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
numerical-tours
Numerical Tours of Signal Processing
python-kaggle-start-book
『PythonではじめるKaggleスタートブック』のサンプルコード・脚注・正誤表
python2cpp
Pythonを知っている人向けのC++入門
tf-quant-finance
High-performance TensorFlow library for quantitative finance.