The respository is for Machine learning basiscs.
-
Updated
Jan 9, 2019 - Python
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 players being selected to All-NBA 1st 2nd 3rd Teams and All-NBA Rookie 1st, 2nd Teams. For season 2023/24
Prediction of the Most Profitable Sector in Morocco using Data Mining & ML techniques
Comparing different ML models for regression to predict the house prices using the California dataset provided by scikit learn.sc
Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.
Predicting house prices using advanced regression algorithms
This mini-project involves experimenting with a variety of classification and regression models, exploring different techniques to understand their behaviors and applications in predictive analytics.
Add a description, image, and links to the support-vector-regressor topic page so that developers can more easily learn about it.
To associate your repository with the support-vector-regressor topic, visit your repo's landing page and select "manage topics."