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

Python entry in the Kaggle's Titanic: Machine Learning from Disaster competition

Project made in Jupyter Notebook with Kaggle Titanic dataset, which aims at detailed data analysis and prediction of which passengers survived the sinking of the Titanic.

The classic Kaggle dataset, two notebooks, R and Python.

Classification algorithms and Deep learning to predict travelers transported to different dimension

A modernized adaptation of the Coursera guided project. Replaces some of the old packages and commands.

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