[Python] A module, notebook, and sample application for predicting the outcome of a battle using Lanchester's differential equations. The module can forecast results using three different models: the linear law, the square law, and a modernized model.

Mon Notebook sur les fondamentaux du Machine Learning

NBA players clustering and Points prediction

Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine learning, simulation, and statistics. Each notebook focuses on a key concept, from algorithmic implementation to probabilistic modeling.

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

This notebook contains the Linear regression method, import and export fits file, analyzing different types of data such as light bulb and telescope data.

Typical subject topics are covered, in 167 notebooks. Streamlined Mathematica shortcuts take precedence over traditional precursor methods. A number of problems are dealt with in an inept, tentative, inefficient, or erroneous manner.

This project applies Linear Regression to predict house prices using the Boston Housing dataset. The notebook includes data exploration, preprocessing, model training, evaluation, and visualizations (correlation heatmap, learning curve, residual analysis) to provide a clear, step-by-step understanding of the regression workflow.

Projet de Machine Learning pour estimer le prix optimal d'une voiture d'occasion via un modèle de régression linéaire et une application Python