Learn how to get started with and participate in Kaggle competitions with Kaggles Titanic competition.
Our free Kaggle tutorial on the Kaggle titanic competition using Python. Includes logistic regression, cross validation, random forests and feature engineering.
By the end of this course, you'll be able to:
The median completion time for this course is 5.9 hours.
This course requires a premium subscription, and includes three missions and one guided project. It is the 28th course in the Data Scientist in Python path.
Learn the Fundamentals for Kaggle
Getting Started with Kaggle
Learn how to make your first submission to the Titanic competition.
Feature Preparation, Selection, and Engineering
Improve your Kaggle score by selecting the best features and creating new ones.
Model Selection and Tuning
Lean how to select the optimum model and tune hyperparameters in Kaggle competitions.
Creating a Kaggle Workflow
Learn how to create and use a machine learning worlflow with Kaggle's Titanic competition.