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Refresh. Titanic Survival Prediction Dataset.
Learn how to analyze the Titanic dataset in Kaggle and submit the results to the competition.
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.
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
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 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...
Start here! Predict survival on the Titanic and get familiar with ML basics.
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.
May 30, 2024 · The Titanic dataset is a classic machine learning problem. It provides information about the passengers aboard the Titanic, and the goal is to predict whether a passenger survived or not based on...
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...
