VidyasagarMSC
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Python Data Science Handbook: full text in Jupyter Notebooks
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science for All!
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Free Data Engineering course!
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Collection of useful data science topics along with articles, videos, and code
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A collection of IPython notebooks covering various topics.
Python Helper library for Jupyter Notebooks
Machine learning in Python with scikit-learn MOOC
"Deep Learning with TensorFlow" LiveLessons
Companion site for the textbook Quantum Computing: An Applied Approach
Code that accompanies the book "Linear Algebra for Data Science"
Repository for tutorial sessions at EEML2020
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
Cheatsheet collection for Math, ML, DL, AI. Update frequently
Practical Data Science using Python, by Packt Publishing
Code repository for O'Reilly Live Online Training
Generative AI - Use Watsonx to respond to natural language questions using RAG (context, few-shot, watson-studio, rag, vector-database, foundation-models, llm, prompt-engineering, retrieval-augment…
A notebook to demo IBM Watson OpenScale monitoring your ML model
Side-project to visualize covid vaccinations in India
As I explore Python libraries....