Using a linear regression model to predict future olympic medals 🥇

Machine Learning Regression Model to Predict Energy Efficiency of Buildings

This study assesses the impact of sentiment analysis on predicting customer churn in e-commerce, comparing models with and without customer feedback to identify the most accurate predictive approach.

Machine Learning Algorithms

BSP 2 - Housing Market Dynamics: Exploratory Analysis and Future Behavior Forecasting

This repository contains predictive ml model

Here we have fully implemented a number of algorithms related to machine learning

NN projects for neural networks course

This repo contains various Regression Models

This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

Fire Weather Predictor made using Ridge Regression on Algerian Forest Fire Dataset to forecast fire occurrences based on meteorological parameters. Utilizes Python with Flask for web interface. Predictions delivered via an interactive dashboard.

Machine Learning algorithms and models

A simple implementation of the LOESS algorithm using numpy

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

A final year project for the University of Exeter, using machine learning to study patterns in millions of chess games (~350 GB). Ranked 1st in the cohort for undergraduate projects (85%).

This repository contains a machine learning project for email spam detection. It includes data preprocessing, model training, evaluation, and deployment using Python and scikit-learn.

This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

Python Data Analysis & Visualization: Player Size Relative to Performance