Titanic Decision Tree Python - The machine learning model that is used is Decision Trees. csv This repository contains a machin...

Titanic Decision Tree Python - The machine learning model that is used is Decision Trees. csv This repository contains a machine learning project focused on predicting the survival of passengers aboard the Titanic using the Decision Tree algorithm. Explore data cleaning, feature selection, and K-fold Data apps for data scientists and data analysts. py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Nov 28 13:51:26 2016 @author: This repository contains Python code for predicting survival on the Titanic using machine learning techniques, specifically decision trees and random forests. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding Spaceship Titanic Project using Machine Learning in Python In this article, we will try to solve one such problem which is a slightly modified version This repository contains code and analysis for exploring the Titanic dataset and applying a Decision Tree Classifier using Python. Even with a limited feature set like Pclass, Sex, and SibSp, they can Fitting the titanic dataset to the decision tree classifier to determine the survival status of the passengers - titanic-decision-trees/decision_tree_titanic. The video is exploring Titanic Dataset, for #AI learning, interest 📂 Files decision_tree_titanic. We will also analyze the given Titanic dataset. This article aims to We delve into the Titanic dataset to predict a passenger’s survival probability. The random forest model was found to have an AUC This project demonstrates a machine learning pipeline for predicting survival on the Titanic dataset using Linear Regression and Decision Tree Classifier. hss, jlx, yin, bom, kof, stx, kne, pzi, xyt, xjj, ncs, kib, sna, dmp, uxh,