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.

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

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.

Diabetes prediction

Credit Card Fraud Detection Using Machine Learning

Machine Learning projects

🐾 A lightweight & extensible library to create complex multi-model and multi-modal pipelines, including ``Ensembles`` and ``Meta-Models``

Forecasting hourly bike rental demand by combining historical usage patterns with weather data using Linear Regression Algorithm.

Customer Churn Rate Predicticted by Machine learning models

This magical tool estimates car prices with a Linear Regression model, trained on Quikr Car listings. Powered by Python and scikit-learn, it considers company, model, year, and mileage. Simply input your car's details and get an instant price prediction!

It's a python program to Visualise the Covid-19 Situation and Predict the Covid Cases in Upcoming Days

📈 Quant Market Predictor is a Python tool designed to predict stock prices from the NASDAQ

Practical tasks that were performed during the course Specialization DS

Code Repository for Perceptron Learning Algorithm

Problem to solve: Predict if a candidate would be hired based on specific characteristics; what are the most important features a candidate must have to have higher possibilities of getting the job?

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