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amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-notebooks

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

azure-ml

Training resources around Azure Machine Learning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cinnamon

CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system

coding-for-economists

This repository hosts the code behind the online book, Coding for Economists.

creme

One of the ancestors of River

cursopyladiessp

Curso Introdutório de Análise de Dados Públicos

data-focused-python

data-science

My notes pertaining to python programming, data analysis and visualization

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

demystifying-healthcare-information-systems

elementsofdatascience

An introduction to data science in Python, for people with no programming experience.

epipy

Python tools for epidemiology

episuite

A suite of tools for epidemiology in Python.

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

git-for-science

A quick introduction to version control with Git and GitHub

hands-on-project

health_ai_online_pipeline

ipython-notebooks

A collection of IPython notebooks covering various topics.

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

lecture-python-programming.notebooks

Notebooks for https://python-programming.quantecon.org

lectures

Lecture notes for EC 607

lectures-ellis

Lecture Notes (Spring 2021)

lifelines

Survival analysis in Python

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all