Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Overview of Kaggle.
- Kaggle categories and performance tiers.
Kaggle Competitions
- Overview of Kaggle competitions.
- Competition formats.
- Joining a Kaggle competition.
- Forming a team.
Kaggle Datasets
- Kaggle types of datasets.
- Searching and creating datasets.
- Organizing and collaborating.
Kaggle Kernels
- Kaggle kernel types.
- Searching for kernels.
- Kernel editor and data sources.
- Collaborating on kernels.
Kaggle Public API
- Installing and authenticating.
- Using Kaggle API with competitions.
- Using Kaggle with datasets.
- Creating and maintaining datasets.
- Using Kaggle API with kernels.
- Pushing and pulling a kernel.
- Checking the status and output of a kernel.
- Creating and running a new kernel.
- Kaggle configurations.
Summary and Next Steps
Requirements
- Proficiency in Python programming.
- Familiarity with machine learning concepts.
- Understanding of statistical principles.
Target Audience
- Data scientists.
- Software developers.
- Anyone aspiring to learn Data Science via Kaggle.
14 Hours
