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Titanic Survival Prediction Dataset.
Learn how to analyze the Titanic dataset in Kaggle and submit the results to the competition.
Titanic Passenger Data - Exploring Survival Patterns and Demographic Information.
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.
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.
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
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...
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.
Nov 6, 2019 · To predict the passenger survival — across the class — in the Titanic disaster, I began searching the dataset on Kaggle. I decided to choose, Kaggle + Wikipedia dataset to study the objective.
Sep 30, 2020 · Recently I started working on some Kaggle datasets. One of the most famous datasets on Kaggle is Titanic Dataset. In this blog, I will show you my first-time interaction with the Kaggle...
