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100-days-of-ml-code

100 Days of ML Coding

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

50projects50days

50+ mini web projects using HTML, CSS & JS

66days__naturallanguageprocessing

I am sharing my Journey of 66DaysofData in Natural Language Processing.

66days_machinelearning

I am sharing my journey of 66DaysOfData in Machine Learning

applied-ml

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

awesome-courses

List of awesome university courses for learning Computer Science!

best-of-ml-python

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

certification

Completed courses

certifications

a list of online certifications curated over a period of time

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

covid19-long-analysis

Raw data and re-analysis of Long et al. Nature 2020

cs109

These are set of files which are taught during cs109

cs109-dl-videos

Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos

cs_courses

data-engineering-zoomcamp

Free Data Engineering course!

data-science-and-machine-learning

Lessons and resources on data science and machine learning for students and mentors. All materials are conventionally accessible through Google Colab notebooks.

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearningexamples

Deep Learning Examples

docker-i2b2

docker-compose i2b2 deployment

ds4b-101-r-business-analysis-with-r

dstack

🧬 dstack: an open-core platform to automate data and training workflows. Provision infrastructure on-demand. Version all your data and models.

featureengineering

In this repository, I will share which I have learned while learning feature engineering process

flying-dog-beers

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

fun-mooc

Learnig statistics with R & machine learning with Python from online course provided by Fun-MOOC.

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.