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alphavantage

eod-data

SDK for the EOD Historical data API

fastaicourse22

The fast.ai course 2022 notebooks

fastbook

The fastai book, published as Jupyter Notebooks

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

metastock2pd

simple utility to convert metastockdata to pandas dataframe

mlfinlab

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

ms2txt

Little utility to decode Metastock files and write them in text format

relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

stock-forecasting

Python repository that uses time-series data from the S&P 500 to train a RandomForestClassifier to predict the probability of a stock price increasing or decreasing. This script is meant for educational purposes only - this is not financial advice. Consult with your financial adviser before making any investments.

thinkbayes

Code repository for Think Bayes.

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

thinkpython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tsfracdiff

Efficient and easy to use fractional differentiation transformations for stationarizing time series data in Python.

walk-forward-optimization