Overview
Kaggle is a crowd-sourced platform for data scientists. It provides a platform for users to find and publish high-quality datasets, explore and build models in a web-based data-science environment, and work with other data scientists and machine learning engineers.
This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to learn and build their careers in Data Science using Kaggle.
By the end of this training, participants will be able to:
- Learn about data science and machine learning.
- Explore data analytics.
- Learn about Kaggle and how it works.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Requirements
- Python programming skills
- Knowledge of machine learning
- Understanding of statistics
Audience
- Data scientists
- Developers
- Anyone who wants to learn Data Science using Kaggle
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