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".

Prediction of forest cover type in Python.

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

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.

An AI-driven hotel classification system using Extra Trees with SHAP-based explainability. Includes Streamlit frontend and FastAPI backend for deployment.

Data Science Project (Autonomous Driving Dataset Analysis)

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

Predicting Appliance Energy use in Residential Buildings.

Machine learning project predicting electricity consumption based on ASHRAE dataset.

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.

A website visualising various classification algorithms

Two stage machine learning engine to predict arrival delay of flights in minutes.

Streamlit App: Depression Risk Assessment with Machine Learning

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

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

Energy Consumption Prediction in EV Charging Stations using Machine Learning

Project for Machine Learning Data Mining course

Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods

Handwritten digit classification using machine learning (Logistic Regression, Random Forest, Extra Trees) on MNIST dataset. Deployed as a Streamlit app.