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This project develops a predictive model for student academic performance by analyzing 80,000 synthetically generated student records. By leveraging both linear and non-linear machine learning algorithms, we identify key factors influencing exam scores and provide actionable insights for educational institutions.

CEA Research Internship repository for feature-based No-Reference Underwater Image Quality Assessment (NR-UIQA), including MATLAB feature extraction, Python ensemble models, and experimental results.

Machine learning regression project comparing 4 algorithms for startup profit prediction using scikit-learn and Python (educational purposes)

A Real Time Crypto Screener & Dashboard App using Next.js and CoinGecko API

Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible interface.

Machine learning web application for predicting automobile prices using Random Forest regression algorithm

Implementation Data Science Rainfall Rate Using SVR, Backpropagation, and LSTM (Study Case: Tanjungpinang)

My projects from the Yandex Practicum Data Science course.

Comparative analysis of LSTM, XGBoost, Random Forest, SVR, and SARIMAX for wind power prediction using real-world turbine data. Covers preprocessing, time series modeling, and performance benchmarking.

Machine learning and neural network models for CHI logD prediction based on ¹H and ¹³C NMR spectral data. Supplementary code for the third paper in the "From NMR to AI" series.

This project predicts ice cream sales based on temperature using Support Vector Regression (SVR). The model analyzes the relationship between temperature and demand, applies different kernels, evaluates performance, and visualizes prediction curves. SVR provides robust and accurate forecasting even with noisy or non-linear data.

Closed Chamber GHG Monitoring System | Prof. Prithwiraj Dey | SAAL Lab, IIT Kharagpur [Jul 2024 - Nov 2024]

Using a dataset with property features (area, location, rooms, floor, etc.), a supervised regression model was trained, evaluated, and optimized to accurately predict sale prices, providing users a fast, reliable, and accessible tool for navigating the Moroccan real estate market.

Machine learning project for predicting CO2 emissions of vehicles using multiple regression and ensemble models. Includes visualizations, comparisons, and prediction engines (TU5, XU7, EF7).

Research Project: Master's in Data Science and Analytics

This repo is about predicting specific Star Formation rates using various algorithms

A Comparison of Regression Models for Predicting Graduate Admissions

This project explores the application of **Support Vector Regression (SVR)** using different kernel functions (linear, polynomial, and RBF) on synthetic and real-world datasets. The main objective is to **understand how various SVR kernels perform** in modeling complex, non-linear data, rather than just optimizing accuracy.

Automatic cotton blending, Yarn quality prediction, Inversion of spinning process parameters