DeyDipankar's Stars
ageron/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.
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
preslavmihaylov/booknotes
A collection of my book notes on various subjects, mainly computer science
talkpython/modern-apis-with-fastapi
Course demos and handouts for our Modern APIs with FastAPI course.
krishnaik06/Feature-Engineering-Live-sessions
solegalli/feature-engineering-for-machine-learning
Code repository for the online course Feature Engineering for Machine Learning
JamesLavin/my_tech_resources
List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful
joaotinti75/Pygame
Games that i did using pygame library
rejoiceinhope/scrapy-proxy-pool
knathanieltucker/bit-of-data-science-and-scikit-learn
Youtube tutorial associated content
wjbmattingly/ner_youtube
edis/sds_challenges
SDS Club's Monthly Challenges 📊
shwetajoshi601/yeast-multilabel-classifier
Multi-label classification approaches on the Yeast dataset