Kaggle Learn

Kaggle Learn is one of the lesser-known gems on Kaggle. It contains compact learning modules, each centered on a certain subject related to data science or machine learning. Each learning module has several lessons, each one with a Tutorial section followed by an Exercise section. The Tutorial and Exercise sections are available in the form of interactive Kaggle Notebooks. To complete a learning module, you need to go through all the lessons. In each lesson, you will need to review the training material and successfully run the Exercise Notebook. Some of the cells in the Exercise Notebook have a verification associated with them. If you need help, there are also special cells in the notebook that reveal hints about how to solve the current exercise. Upon completing the entire learning module, you receive a certificate of completion from Kaggle.

Currently, Kaggle Learn is organized into three main sections:

• Your Courses, where you have the courses that you have completed and those that are now in progress (active).
• Open courses that you can explore further. The courses in this main section are from absolute beginner courses (such as Intro to Programming, Python, Pandas, Intro to SQL, and Intro to Machine Learning) to intermediate courses (such as Data Cleaning, Intermediate Machine Learning, Feature Engineering, and Advanced SQL). Also, it contains topic-specific courses like Visualization, Geospatial Analysis, Computer Vision, Time Series, and Intro to Game AI and Reinforcement Learning. Some courses touch on extremely interesting topics such as AI ethics and machine learning interpretability.
• Guides, which is dedicated to various learning guides for programs, frameworks, or domains of interest. This includes the JAX Guide, TensorFlow Guide, Transfer Learning for Computer Vision Guide, Kaggle Competitions Guide, Natural Language Processing Guide, and R Guide.

In the next section, we will familiarize ourselves with a rapidly evolving capability of the Kaggle platform: Models.