using Drebin dataset to distinguish between malwares and not malwares

Rice Crop Yield Estimation Using Satellite Data - EY Open Science Data Challenge 2023

Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries

This repository contains the source code to reproduce the paper "Feature-based No-Reference Video Quality Assessment using Extra Trees".

Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries

Prediction of forest cover type in Python.

This project aims to predict the price of laptops based on their technical specifications using various machine learning models. The dataset includes attributes like brand, processor, RAM, memory type, GPU, screen size, and operating system.

Sampling Assignment: Download dataset, balance classes, apply ML models with different sampling techniques to evaluate performance.

Credit Card Fraud Detection with Python. Implemented various classification algorithms in scikit-learn and Built a Neural Network in Tensorflow

Mitsui Kaggle — ExtraTrees with single-lag & group-lag features

End-to-end Data Science project on Amazon Sales. Features data cleaning, EDA, outlier detection, and predictive modeling using Python, Pandas, and Scikit-learn.

Data Science Project (Autonomous Driving Dataset Analysis)

Predicting Appliance Energy use in Residential Buildings.

A website visualising various classification algorithms

Classical machine learning techniques to the problem of protein function prediction based solely on amino acid sequences. The task is formulated as a supervised multi-class classification problem, using functional annotations derived from the UniProt and Gene Ontology databases.

Machine learning project predicting electricity consumption based on ASHRAE dataset.

A dashboard where a pretrained ML model predicts whether a user is diabetic, or estimates their diabetes risk score, while gpt-5-mini uses its shap values and prediction to generate a report, which is then formatted into a downloadable PDF.

A Python tool for trading signals on global markets based on machine learning

🤖📖 Application that compares most known ML algorithms and generates plots and markdown files.

Project for Machine Learning Data Mining course