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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.
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.
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...
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
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 · Tackling the Titanic Dataset with Machine Learning (Kaggle Challenge!) The Titanic dataset is a classic machine learning problem. It provides information about the passengers aboard the...
Start here! Predict survival on the Titanic and get familiar with ML basics.
Oct 13, 2021 · Kaggle Titanic – Data Analysis. Today we start the Titanic Kaggle competition. Our objective is to build a classifier that predicts which passengers of the Titanic survived. If you want a detailed description of the Titanic Kaggle competition, you find all information on the Kaggle website.
Nov 6, 2019 · Tackling the Titanic Dataset with Machine Learning (Kaggle Challenge!) The Titanic dataset is a classic machine learning problem. It provides information about the passengers aboard the...
