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Overview
Context
Kaggle is the most famous platform for Data Science competitions. Taking part in such competitions allows you to work with real-world datasets, explore various machine learning problems, compete with other participants and, finally, get invaluable hands-on experience.
IYou will be able to select the correct local validation scheme and to avoid overfitting. In this Winning a Kaggle Competition in Python course offered by Data Camp, you will master advanced feature engineering together with model ensembling approaches. All these techniques will be practiced on Kaggle datasets.
Programme Structure
Chapters
- Kaggle competitions process
- Dive into the Competition
- Feature Engineering
- Modeling
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Software Engineering Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- PREREQUISITES: Extreme Gradient Boosting with XGBoost
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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