pcsingh
Follow
Stars
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
PyTorch Tutorial for Deep Learning Researchers
Data science interview questions and answers
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
A collection of (mostly) technical things every software developer should know about
List of Data Science Cheatsheets to rule the world
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Master programming by recreating your favorite technologies from scratch.
The fastai book, published as Jupyter Notebooks
24 Lessons, 12 Weeks, Get Started as a Web Developer
Companion code for the book "Mastering Social Media Mining with Python"
WhatsApp Chat Analyzer is a WebApp and it can be used by anyone to analyze their chat. 😄
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A curated list of awesome Machine Learning frameworks, libraries and software.
Collection of Summer 2025 tech internships!
A list of open source programs.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A curated list of awesome Deep Learning tutorials, projects and communities.
Discover the best way to get started contributing to Open Source projects
✍️ A carefully curated list of NLP paper summaries
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.