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Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2025)
10 Weeks, 20 Lessons, Data Science for All!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
📝 An awesome Data Science repository to learn and apply for real world problems.
Code and Slides
Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this approach.
This is a repo with links to everything you'd ever want to learn about data engineering
Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing. It is intended to be used as a teach…
BayerCLAW workflow orchestration system for AWS
Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openin…
A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing
🚀✨ Help beginners to contribute to open source projects
Shiny server configuration with Nginx load balancer
An opinionated list of awesome Python frameworks, libraries, software and resources.
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory wi…
kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.
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.
🎓 Sharing machine learning course / lecture notes.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
⚡ HugoBlox: Markdown sites in minutes. Academic/resume/lab/portfolio for AI researchers & startups. Premium templates. Deploy to GitHub Pages now in 1-click 👇
Official repo for the #tidytuesday project
Learning Convolutional Neural Networks with Interactive Visualization.
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Awesome list dedicated to Windows Subsystem for Linux
Bioinformatics one liners from Ming Tang
A list of deep learning implementations in biology