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.

An open-source, low-code machine learning library in Python

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Deep Learning Illustrated (2020)

Deep Learning with TensorFlow, Keras, and PyTorch

Machine Learning algorithms implemented from scratch

Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !

Implementation of basic ML algorithms from scratch in python...

Reliability diagrams visualize whether a classifier model needs calibration

A collection of resources for learning and research.

Contains Notebook for my youtube channel videos

Graph Data Modeling in Python, by Packt Publishing

Python learning sessions developed by the NHSX Analytics Unit and friends.

Code and explanatory notebooks for predicting short-term hospital bed demand using real-time data

Naive bayes classifier from scratch in python