TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A game theoretic approach to explain the output of any machine learning model.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Your new Mentor for Data Science E-Learning.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Repository for the free online book Machine Learning from Scratch (link below!)

Native Python WFDB package

Machine Learning notebooks for refreshing concepts.

Convolutional and LSTM networks to classify human activity

daily curated links in DS, DL, NLP, ML

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Let's explore how we can extract text from forms

Jupyter notebooks to keep my learning notes about wavelet theory