Md Jahirul Islam

An end-to-end Machine Learning web application to predict diabetes risk using the Pima Indians dataset. Features an optimized XGBoost pipeline and an interactive Gradio interface.

A machine learning pipeline utilizing CatBoostRegressor to predict crab age based on physical dimensions. This solution, developed for the Phitron ML Contest 01, implements custom geometric feature engineering and 5-fold cross-validation to minimize Mean Absolute Error.

A steady-state Load Flow Analysis of a 9-bus power system using the Newton-Raphson method. Modeled in PowerWorld Simulator and validated with MATLAB , this project calculates bus voltages, phase angles, and power flows to assess system stability and active/reactive power losses.

Python implementation of a BFSK communication system with non-coherent detection. Simulates signal transmission via an AWGN channel. Includes modules for modulating text, noise addition, and demodulation, featuring waveform visualizations and BER performance analysis across varying SNR levels.

No project description available.

Daily progress, notes, and practice from Phitron’s Machine Learning & AI course.