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

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

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

Guidelines for the course "fundamentals of machine learning"

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

Credit Card Fraud Detection Using Machine Learning

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?

Practical tasks that were performed during the course Specialization DS

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.

UOC University - Applied Data Science Engineering - Fundamentals of Data Science - PEC_7 || Data preprocessing in Python. Libraries: Scikit-learn and Pandas. ||

spam_email_detection

Machine Learning projects

Diabetes prediction

Vorhersage von Hauspreisen mit Linear Regression (Python, scikit-learn, Pandas)

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.

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

Movie-Revenue-Predictor is a machine learning model built with Python, scikit-learn, and pandas, utilizing regression techniques to predict movie revenue based on different features