You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project predicted health insurance charges using two methods: Averaging and Linear Regression. Linear Regression delivered more accurate predictions, highlighting its superior performance.
This project repository comprises an exploratory data analysis (EDA) of the "Breast Cancer Gene Expression Profiles (METABRIC)" dataset, employing Python libraries for data manipulation and visualization. It includes data loading, preparation, and EDA tasks, aiming to gain insights into breast cancer data.
This GitHub repository hosts a bike rental demand prediction project. It utilizes Python libraries for data analysis and builds regression models to forecast demand based on various attributes. The project covers data preprocessing, exploratory analysis, and model evaluation.
This repository predicts body fat percentage using Lasso and Ridge regression models. It compares their accuracy and performance metrics, offering detailed code and model evaluations in the Jupyter Notebook.
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced