awesome-no-bullshit-data

Data Engineering

Full Stack Deep Learning

Machine Learning

https://github.com/shankarpandala/lazypredict

https://github.com/eugeneyan/applied-ml

https://github.com/visenger/awesome-mlops

How to Set Up a Python Project For Automation and Collaboration

Chris Albon

modin-project/modin: Modin: Speed up your Pandas workflows by changing a single line of code

https://github.com/dslp/dslp

https://github.com/luspr/awesome-ml-courses

Gradient Boosting explained [demonstration]

Wattenberg, et al., "How to Use t-SNE Effectively"

HiPlot: High-dimensional interactive plots made easy

A visual explanation for regularization of linear models

Datapane | Analyse in Python. Share on Datapane.

Darts: Time Series Made Easy in Python | by Julien Herzen | Unit8 - Big Data & AI

How to Set Up a Python Project For Automation and Collaboration

Connected Papers | Find and explore academic papers

A Neural Network Playground

Beyond Pandas: Spark, Dask, Vaex and other big data technologies battling head to head

floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

datastacktv/data-engineer-roadmap: Roadmap to becoming a data engineer in 2021

Deep Learning's Most Important Ideas - A Brief Historical Review

Google Developers Rules of Machine Learning: | ML Universal Guides

Reflecting on a year of making machine learning actually useful