Winning a Kaggle Competition in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Supervised Learning with scikit-learn
Extreme Gradient Boosting with XGBoost
Data Manipulation with pandas
What You Will Learn
Learn how to approach and win competitions on Kaggle
In this course, you will learn how to approach and structure any Data Science competition
You will be able to select the correct local validation scheme and to avoid overfitting. Moreover, you will master advanced feature engineering together with model ensembling approaches
Course Instructors
Course Reviews
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