Guidelines for the course "fundamentals of machine learning"

This project uses machine learning to predict and analyze employee attrition in Company.By developing three predictive models,it identifies key factors influencing turnover,providing actionable insights to mitigate attrition challenges.The analysis focuses on enhancing job satisfaction,work-life balance and career growth opportunities.

Machine learning–based classification of movement commands for a wall-following mobile robot (SCITOS-G5) using ultrasound sensor data from the UCI ML Repository.

Machine Learning projects

Modelo preditivo de Machine Learning para identificar evasão de clientes (Churn) no setor de telecomunicações e propor estratégias de retenção.

Repo hosting the notebooks for the assignments of the fall 21 "Neural Networks and Intelligent Systems" course @ NTUA

Built and deployed a Basketball Lineup Analytics Engine — a sports-tech decision-support tool that ranks 5-man lineups, recommends substitutions, and evaluates matchup counters.

Credit Card Fraud Detection Using Machine Learning

Modular ML expense tracker for Indian students — classifies UPI transactions, nets reimbursements, and tracks SIP goals using Random Forest + Fuzzy Matching.

A machine learning–based spam email detection system

With imbalanced observed data, a search for the best model is conducted. The bank is seeing its customers leave. Wondering if there are patterns to their decision to exit, the bank wishes to anticipate for this trend. When the positive class is the minority in an imbalanced dataset, a model need to be trained for robustness.

Building a predictive model to predict views of Ted Talks in YouTube from dataset of past events using Machine Learning models

Utilizing machine learning, this project employs emotion-driven models to recommend movies. By analyzing user reactions, it tailors suggestions for an emotionally engaging cinematic experience.

spam_email_detection

This project is an end-to-end machine learning pipeline for predicting housing prices in California.

This is a comprehensive collection of Python implementations covering fundamental machine learning algorithms, data preprocessing techniques, model evaluation methods, and practical applications

This project analyzes movie reviews and classifies them as Positive or Negative using Natural Language Processing (NLP) techniques. 💻 Technologies