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
- How to join a Kaggle competition
- Forming a team
Kaggle Datasets
- Types of datasets available on Kaggle
- Searching for and creating datasets
- Organising and collaborating on datasets
Kaggle Kernels
- Types of Kaggle kernels
- Searching for kernels
- Kernel editor and data sources
- Collaborating on kernels
Kaggle Public API
- Installation and authentication
- Using the Kaggle API with competitions
- Using Kaggle with datasets
- Creating and maintaining datasets
- Using the Kaggle API with kernels
- Pushing and pulling kernels
- 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
- Fundamental knowledge of machine learning
- A solid understanding of statistics
Audience
- Data scientists
- Developers
- Anyone eager to learn data science using Kaggle
14 Hours
