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Titanic Survival Prediction Dataset.
Start here! Predict survival on the Titanic and get familiar with ML basics.
Learn how to analyze the Titanic dataset in Kaggle and submit the results to the competition.
This repository serves as your gateway to exploring the rich insights hidden within the Titanic dataset using Python and Kaggle. Delve deep into the realm of classification techniques and machine learning algorithms
Jun 22, 2019 · Over the world, Kaggle is known for its problems being interesting, challenging and very, very addictive. One of these problems is the Titanic Dataset. So summing it up, the Titanic Problem is based on the sinking of the ‘Unsinkable’ ship Titanic in the early 1912.
About. Kaggle Competition | Titanic Machine Learning from Disaster. The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden...
Solution. In a form of a jupyter notebook, my solution goes through the basic steps of a data science pipeline: Exploratory data analysis with visualizations. Data cleaning. Feature engineering. Modeling. Modelfine-tuning. Note that I have included a script with stacking for information only as it achive lower score.
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Nov 24, 2021 · The legendary Kaggle problem, Titanic, based on the tragedic sinking of the RMS Titanic records data about 891 passengers of RMS Titanic, and we are required to predict if they have survived or...
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
