The respository is for Machine learning basiscs.

Determining the housing prices of California properties for new sellers and also for buyers to estimate the profitability of the deal.

Prediction of the Most Profitable Sector in Morocco using Data Mining & ML techniques

Artificial Intelligence -> Machine Learning (ML) -> Supervised Learning -> Regression -> SVR & Polynomial SVR & Kernel Ridge Regression

📈 A machine learning pipeline for SaaS revenue forecasting using time-series regression, Optuna hyperparameter tuning, and SHAP-based model explainability.

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

Predicting house prices using advanced regression algorithms

An Regression project which predicts daily distance walked from few inputs

Comparing different ML models for regression to predict the house prices using the California dataset provided by scikit learn.sc

Prediction of players being selected to All-NBA 1st 2nd 3rd Teams and All-NBA Rookie 1st, 2nd Teams. For season 2023/24