This repository contains the data analytics lessons I took from the bootcamp between 5 Jan - 4 Aug 2022 and includes 48 sessions, 10 labs, 12 assignments, 12 weekly agendas, and 5 projects.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Regression models for "epigenetic clock" estimation of canine chronological age

Churn modelling for bank customers using Artificial Neural Network

NHL-Game Analysis 🥅 🏒

A data-driven approach to assess property prices in a Midwestern state, using regression and decision tree models to evaluate housing data from 2006-2010.

Given the dataset, can we predict the Co2 emission of a car using another field such as engine size?

Show case for modelStudio based on ⚽⚽⚽FIFA 20 ⚽⚽⚽

Predicts calories burned during physical activity using publicly available workout and physiological data from Kaggle.

f1 race winner predictor

Predictive Modelling of Pathological Complete Response Classification and Relapse-Free Survival Regression in Cancer Patients

End‑to‑end breast cancer prediction workflow with reproducible notebooks and Streamlit dashboard.

*Credit Risk Analysis App** is a machine learning-powered web application designed to help financial institutions and lenders assess borrower default risk in real-time. Built with Python and Streamlit

Predictive modelling for Zomato restaurant data

Perform exploratory data analysis techniques, such as predictive models and advanced visualization, on the Boston Housing Dataset.

Machine learning model to predict credit card approval decisions using Random Forest classifier with comprehensive data preprocessing and visualization.

Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behavior, contract details and the payment details. The data also indicates which were the customers who canceled …

This repo contains the code (data analysis, models, results) of my diploma thesis with title "A recommender system to predict the behaviour of an e-commerce page visitor". The official university's listing of this thesis is on the link bellow:

Analyze the impact of COVID-19 on Airbnb bookings in Chicago and Boston, focusing on changes in traveler preferences, occupancy rates, and revenue

Smoking Detection is a machine learning-based web application built with Flask that predicts the probability of a person being a smoker using various body signal inputs. This project leverages data science techniques and predictive modeling to provide health-related insights through an easy-to-use interface.