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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

algo-trading-with-ml

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, and Keras

coms4995-s20

COMS W4995 Applied Machine Learning - Spring 20

corso-cpp

A repository for the numerical algorithm course

deep-learning-from-scratch-2

example-scripts

Example Machine Learning Scripts for Numerai's Tournament

ezoe_excercise

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

julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

julia-tutorial

高速でJuliaを学ぶ入門チュートリアル

juliacoursenotebooks

Jupyter notebooks for the Julia Scientific Programming course on Coursera

kagglebook

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.

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

mybooks-1

myfirstrepo4ml

numerapi

Python API and command line interface for the numer.ai machine learning competition

numerical-tours

Numerical Tours of Signal Processing

presentations

Slide show presentations regarding data driven investing.

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

product-register

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