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

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

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

Predicting Titanic passenger survival using Python, data analysis, and machine learning. It explores key survival factors with data visualization, feature engineering, and models like Logistic Regression and Random Forests.

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.

Environment friendly marketplace for groceries :D

Machine learning model in Python that predict car prices and classifies the relationship between the efficiency of different engine models and other car characteristics

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.

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

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.

A Data Science Project for portfolio

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

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

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

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.

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