A comprehensive, high scoring solution to the Kaggle Titanic Data Challenge implemented in a jupyter notebook

kaggle Competition (Titanic only for now)

A model applied in Kaggle's Titanic competition.

kaggle competition - Titanic: Machine Learning from Disaster

I thoroughly examined the Titanic dataset on Kaggle, honing my skills in data exploration and analysis. This practice session allowed me to delve into the intricacies of the dataset, uncovering valuable insights and enhancing my proficiency in deriving meaningful conclusions from data.

Reto para resolver el Challenge de Titanic en Kaggle

My experiment using data from Kaggle

Exploratory analysis of the Titanic data set in Python using NumPy & Pandas.

Machine Learning Nano-degree Projects

Predict survival on the Titanic and get familiar with ML basics.

A simple ml model used to predict whether a passenger on titanic will survive or not

Getting to top 4% on Kaggle's Titanic using Azure Automated Machine Learning

Titanic competition from Kaggle

Applying the tools of machine learning to predict which passengers survived the Titanic tragedy.

This is a template to tackle the Kaggle's Titanic competition the easy way.

Analysis of Survival Rate

This repo contains a comparative analysis of different machine learning classfiers.

This aim of this project is to predict whether the passenger has survived or not using the given independent features. The brief description of this file you will find in the readme section...Go through my notebook if there's any changes that I can do then do suggest me. Thank You

Titanic - Machine Learning from Disaster