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Commonly asked questions On All Courses
While video lessons and quizzes are only accessible online, Kaggle allows learners to download the notebooks and use their favorite Jupyter IDE (e.g.: VS Code, Jupyter Lab, JetBrains Datalore, Google Colab, AWS Sagemaker). These downloadable resources are helpful for learners who want to continue practising even when not connected to the internet.
Yes! Kaggle courses are designed to help learners prepare for competitions. The courses cover key topics for participating in Kaggle competitions, such as data preprocessing, feature engineering, and model evaluation. By applying the techniques learned in the courses, learners can develop the skills to build strong models and perform well in Kaggle challenges.
Enrolling in Kaggle courses is simple. Follow below steps -
Create a free account on Kaggle.
Navigate to the "Learn" section once logged in.
Browse through the available courses and pick the one that interests you.
Enrollment is instant, and you can start accessing the course content immediately.
Most Kaggle courses are short and designed to be completed in a few hours, especially those on fundamentals. However, learners can take as much time as they need to grasp the material, as the courses are self-paced fully. Some advanced topics, like deep learning, may take longer to complete, especially if you spend additional time practising and implementing the techniques on real-world datasets.
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