30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

boring-avatars

Boring avatars is a tiny JavaScript React library that generates custom, SVG-based avatars from any username and color palette.

commitblob

Config files for my GitHub profile.

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cs-video-courses

List of Computer Science courses with video lectures.

data-science-best-resources

Carefully curated resource links for data science in one place

data-scientist-handbook

This is a repo with links to everything you'd ever want to learn about data science

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

datascienceresources

Open Source Data Science Resources.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dspt

enron-classification

Exploratory Analysis of Enron Dataset and Classification using multiple algorithms

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

extract_key_information_document_understanding

folioangular

foliomean

hierarchical-document-classification-datasets

idemo100put

js-pytorch

A JavaScript library like PyTorch, built from scratch.

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learning

Becoming 1% better at data science everyday

mean_apartments

micro-frontend-example

Building Micro Frontends with React, Vue, and Single-spa

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-engineering

Machine Learning Engineering Open Book

multitenant

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nn-zero-to-hero

Neural Networks: Zero to Hero