dariak153/Comprasion_of_classifiers

The goal of this project was used advanced preprocessing and feature engineering. Achieved high accuracy with XGBoost and LightGBM. Deployed via a Django web application and visualization was presented using Dash and Plotly.

First Project -- Titanic Survival Prediction:

Developed a machine learning model using Python and Scikit-learn with advanced preprocessing and feature engineering. Achieved high accuracy with XGBoost and LightGBM. Deployed via a Django web application.

Second Project --Titanic Results Dashboard

Titanic Dashboard

This project visualizes and analyzes the Titanic dataset using various machine learning classifiers and interactive plots.

Overview

Correlation Matrix

Age Distribution and Survival Analysis

Pie Charts

Prediction Results