sklearn-preprocessing

Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"

🏠 Real Estate Price Prediction using Artificial Neural Networks (ANN) with TensorFlow/Keras. Analyzes 47+ property features to predict housing prices with 98% accuracy (R² Score). Includes data preprocessing, EDA, model training, and evaluation. 📊🤖

Electronic Music Classification ML

The Telco Customer Churn dataset, the project involves collecting, cleaning, and analyzing customer data to uncover key factors influencing churn.

Using a real-world Telco Churn dataset, this project covers the complete data analysis pipeline — from data cleaning and exploration to model building and evaluation.

The project “HR Analytics – Employee Attrition Prediction” aims to predict employee attrition based on various work-related factors using the IBM HR Analytics Dataset.

Machine/Deep Learning Concepts in Time Series Context!

Healthcare data

Machine Learning Drug Classification

Cybersecurity threat detection project that analyzes AWS CloudWatch web traffic logs to identify suspicious and anomalous interactions using machine learning models like Isolation Forest, Random Forest, and Neural Networks.

Increase processing efficiency via principal components analysis [PCA]

An end-to-end Machine Learning pipeline designed to predict Formula 1 lap times (LapTimeSeconds) using timing and telemetry data from the 2023 Bahrain Grand Prix.

This repository contains all the practical assignments and experiments performed during my second year in the Data Science course. It covers fundamental concepts such as data preprocessing, data visualization, statistical analysis, and basic machine learning techniques.

Classifies IMDb movie reviews as positive or negative using NLP.

Prediction_of_creditworthiness_for_issuing_a_credit_card

Mini-projects and assignments on advanced data analytics and visualisation

Predict whether customers will purchase a product by implementing KNN model

Using ride data, Uber guides drivers to areas with high demand to speed pick-ups and lower cancellation rates.

This data analysis finds out the trends and analysis of avocado data by year

PROVA DATA SCIENCE HACKATÓ