Python Data Science Handbook: full text in Jupyter Notebooks

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.

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…

A collection of various deep learning architectures, models, and tips

Data Science Using Python

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Tutorials and training material for the H2O Machine Learning Platform

USC urban data science course series with Python and Jupyter

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …

Joyplots in Python with matplotlib & pandas 📈

Content in this repository is not maintained and is actively being migrated to other repos.

An easy to use waterfall chart function for Python

An opinionated guide on how we work.

Tuning XGBoost hyper-parameters with Simulated Annealing

Documentation for the DALEX project

Materials for the workshop "Applications of NLP in EdTech" at Open Data Science Conference (West), 2019.