In this course, you’ll learn how to participate in Kaggle competitions. Kaggle is a data science competition site where you can compete with other data scientists and data science teams to produce the most accurate analysis of a particular dataset. Competition in Kaggle is fierce, and placing among the top finishers in a competition is an impressive accomplishment to include in your data science resume.
In this course, you will compete in Kaggle’s “Titanic” competition to build a simple machine learning model and make your first Kaggle submission. You will learn how to select the best algorithm and tune your model for the best performance — and how to work with multiple algorithms, such as logistic regression, k-nearest neighbors, and the random forest algorithm to find the model that scores the best and awards you the highest rank.
Throughout this course, you’ll not only learn several tips and tricks for competing in Kaggle competitions but also how to use a Jupyter Notebook for Kaggle competitions.
At the end of the course, you’ll complete a machine learning project.
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our course, you'll master data skills and grow your career.
We believe so strongly in our courses that we offer a full satisfaction guarantee. If you complete a career course on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Learn a proven method to acquire and use data skills.Read Article
Read more about what learners think of Dataquest.Read Article
A step by step guide to learn and master Python.Read Article
65 different Python practice exercises you can start today.Read Article
Learners who recommend
Dataquest for career advancement
Dataquest rating on
G2Crowd and SwitchUp
Average salary boost
for learners who complete a path