Fatiha Ramadhianti

This repository implements a classification pipeline for the Titanic dataset using Apache Spark. It covers ETL, data preprocessing, and machine learning model building with algorithms like Logistic Regression, Decision Tree, Random Forest, and Gradient-Boosted Tree. Results're presented through visualizations to support data-driven insights.

Predicting Song Popularity Using Neural Networks with Backpropagation Algorithm Based on Audio Features

Implementation of a Telegram Bot with Decision Tree and Reinforcement Learning for Game Corner Booking at FILKOM UB

Application of Deep Learning to Detect Botnets in Network Traffic Using CTU-13 Dataset