Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150…

Kaggle入门级机器学习项目：泰坦尼克号生存预测

Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.

Experiments in ML with tidymodels

Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

Titanic Survival prediction: Titanic dataset- how many people survive and how many were Male and Female

Predict if you would have survived if you were on the Titanic Ship

Introductory Kaggle competition

kaggle machine learning with spark

This is collection of My Data Analysis and Python Leaning

My Solutions to Machine Learning competitions on Kaggle, Analytics Vidhya etc

This is my personal repository, I upload my personal projects here. You can copy the code without a second thought. Thank you

Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%

Testing different ML models on famous Titanic dataset from kaggle. (100% accuracy)

Data Analysis Solution for Titanic passenger data.

My take on the Kaggle Titanic Challenge, Accuracy: 0.80681

EDA,Feature Engineering and Modelling for classical Titanic Problem

Machine learning models for predicting Titanic survival. Includes data preprocessing, model training, and performance comparison using various algorithms. Features a Random Forest model with the highest ROC AUC for accurate predictions.

Learn Logistic Regression and implement by Java， also used to solve Kaggle-Titanic predict。

Predicting the survival of passengers on RMS Titanic using information about the passengers.