sckiit-learn

🧠 Classify topics in text data using NLP techniques to enhance customer experience and drive actionable insights for business improvement.

Machine Learning course assignments in Python: K-Nearest-Neighbor, K-Means clustering, a neural network overfitting study, and AdaBoost from scratch.

Building energy simulation and analysis project | My contribution: energy signatures & LSTM-based prediction

A simple machine learning project to predict student scores based on study hours. It compares multiple regression models and evaluates their performance. Created by an Information Systems student as an introduction to machine learning.

Machine learning project that predicts restaurant ratings using data preprocessing, feature engineering, and model evaluation to forecast dining experiences.

Data Analysis of the case of customers default payments in Taiwan, using a Machine Learning algotithm Support Vector Machine (SVM).

This project compare the performance of different machine learning algorithms using Intel's scikit-learn-intelex and cuPY

Python-based blockchain anomaly detection system that generates simulated Ethereum transactions with Web3/Ganache and uses an Isolation Forest model to identify abnormal transaction behavior such as phishing, rug pulls, wash trading, and airdrop farming.

Django fault-diagnosis prototype for single/batch CSV diagnosis and model training with a tree-ensemble voting classifier, task history, and feedback.

An interactive Streamlit machine learning app for predicting heart disease risk using a trained Logistic Regression model.

MandirGo is an AI-based Smart Temple Crowd & Pilgrimage Management System leveraging Computer Vision, real-time analytics, and intelligent booking to enhance safety, optimize crowd flow, and seamless pilgrimage experience.

DBSCAN-based route discovery and LightGBM ETA prediction models for informal transit. Achieves F1≥0.85 and MAE≤3 minutes.

Large-scale earthquake ground-motion prediction using classical ML and PyTorch deep learning with earthquake-grouped validation, unseen-event testing, interpretability, and Streamlit deployment.

Complete portfolio of my 📊IBM Data Science Professional Certificate journey - featuring 9+ courses, 🏗️hands-on projects, and 🌍real-world data science applications from data collection to 📈interactive dashboards.

Spam Detection API A simple NLP project using TF-IDF and Naive Bayes to classify messages as spam or not, served via FastAPI.

Resume Analyzer is a prototype web application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

Machine Learning project for predicting soil fertility using the LUCAS Soil Dataset.

Unsupervised ML pipeline (PCA + K-Means) that segments real estate clients into distinct groups for targeted marketing and offers.

Machine learning system for classifying 5 cancer types from gene expression data using SVM, Random Forest, and other classifiers. Built with Python, Scikit-learn, Flask, and React.js. Achieved 99% F1-score with 10-fold cross validation.

Decision Tree Classifier using Python | Prodigy InfoTech Data Science Internship Task 3