prediciton

A fast and accurate contest rating prediction web application

Use the deep learning recursive neural network keras RNN-LSTM to preidct stocks that rise from the next day on multiple stocks.

Python package to predict bugs using the complexity of code changes

Prediction of product attractiveness

Predict Future Sale Kaggle competition: https://www.kaggle.com/c/competitive-data-science-predict-future-sales

Predict whether income exceeds $50K/yr based on census data.

Prediction of "Dragon Real State" will be here!!!

A disease prediction system that uses ReactJS on the frontend and NLP + Machine Learning on the backend to predict possible diseases based on user-entered symptoms.

Patient data with tumor image features and diagnosis (M/B) for KNN and classification tasks. 🧬 🩺

A Data Science Project for portfolio

This project has the objective of training valorant teams stats throughout the championships and predict the VALORANT Champions winners @ Setember 2026

Wildfires in Alberta have become increasingly severe in recent years. This project analyzes public wildfire data and builds a predictive model to estimate wildfire severity based on the month, location, cause, and weather conditions. The goal is to support timely resource allocation and improve wildfire response efforts.

A case study where I review some regression methods to build models for predicting house rental prices in Brazil.

Its a logistics and supply chain based project that I made just for learning purpose with the help of ai.

Smart Doctor is a web application which predicts multiple diseases such as Heart Disease , Diabetes , Breast Cancer based on the report results . Recommender System is used to recommend treatment plans, medicines and much more based on the results.

Multi-model vulnerability detection for C code using CodeBERT, GraphCodeBERT, and CodeT5. Trained on Microsoft’s Devign dataset, VulnAI identifies both keyword-based and structural vulnerabilities with a Python API and CLI.

Machine learning pipeline for predicting book ratings and recommendations. Implements various ML algorithms to analyze book features and reader preferences for accurate prediction modeling.

This project is an end-to-end deep learning system for diabetes status prediction using clinical and biochemical patient data. It integrates model training, API inference, prediction logging, and interactive visualization.

EDA & xGBoost on Black Friday Sales dataset