Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

This notebook is a study on the sales of newspapers of a local stand, with intention to predict the newspaper sales performance based on the different features available. For this, 4 sklearn models are applied: Linear Regression, Lasso Regression, Ridge Regression and Elastic Net Regression.

This group project aims to predict the arrest of different types of crime given a specific input (day/ location/etc.) using machine learning models.

Classifying customers using Logistic Regression

This analysis aims to determine the best model for predicting the electrical energy output. The evaluation metric used was the determination coefficient (R-squared).

Comparison of Self Implemented Linear Regression and Sklearn Linear Regression

Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application