Udacity Nanodegree ML Projects

This analysis focuses on finding answers about the chances of survival of the passengers of the Titanic tragedy on 1912

Titanic: Machine Learning from Disaster

Friendly beginner Titanic dataset analysis, used on Guided Project available on Coursera.

Applying Logistic Regression to the Kaggle "Titanic Survival Prediction Problem".

Kaggle Titanic Survival Analysis model with 86.59 accuracy with Random Forest Classifier and a score of 0.7556 on kaggle Titanic Survival Analysis scorecard

Tasks and Projects completed during the Data Science internship at CODSOFT

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.

Titanic Survival Exploration (Udacity ML Nanodegree Project 0)

Basic decision tree model for Titanic dataset. Predict who will survive.

final project on titanic dataset in nanodegree program of udacity

This is my repository for Kaggle competition submission. This will be my first kaggle challenge which is hosted as Titanic: Machine Learning from Disaster.

machine learning à partir du dataset titanic

Using Deep Learning to create a model that predicts which passengers survived the Titanic shipwreck.

Titanic Prediction

In this project, I have built a classifier to predict the survival of a person on the historical Titanic ship. I've loaded the data from Kaggle, cleaned the data, and applied different classification algorithm on the data. Obtained the Best classifier using Stratified Cross Validation.

Repository for building a suitable prediction model for the Titanic Survival Dataset

An algorithm that determines whether or not you're likely to have survived the Titanic (to an accuracy of 77%).