A program to predict prices of houses by taking into account the factors such as number of bedrooms, bathrooms, sqft of floor etc

An ML algorithm which predicts the number of quantity of a product to be sold on a time period whereas these parameters are provided as inputs.

ML based flask app

An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.

College Rank Predictor

Predict Air Grade

Price estimating of used bikes using historical Ebay prices

Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.

Regression models other than linear and multiple in Python

Prediction of gene expression from a given set of epigenomic features

Web application developed using Django. Using random forest algorithm to accurately predict car prices based on the users input.

Machine Learning with Streamlit Python

Machine Learning Project on Laptop Price Prediction

This project implements a system for predicting the price of used cars using the Random Forest Regression algorithm. The system is designed to take in various features of a used car and predict its market value.

code of master's thesis Jonas Blancke

Kaggle Titanic Competition

This repository enables an engineer to generate predictions for the mechanical bending performance of corroded beams, using a database of 725 corroded beams tested under monotonic bending. Outputs include the maximum bending moment, residual capacity percentage, yield load, yield displacement, and ultimate displacement.