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We pare down complex topics to their key practical components, so you gain usable skills in a few hours (instead of weeks or months). The courses are provided at no cost to you, and you can now earn certificates. Learn more.
Learn the most important language for data science.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Explore Python's syntax, data types, and functions. Practice loops, conditionals, and list comprehensions. Learn to work with external libraries and apply skills to a Kaggle competition.
Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data.
Oct 26, 2021 · There is a 5-hour course on Python in Kaggle. It consists of 8 modules covering all basic concepts to work on data science problems. Below is the link to the course,
Adapting machine learning algorithms to time series problems is largely about feature engineering with the time index and lags. For most of the course, we use linear regression for its simplicity, but these features will be useful whichever algorithm you choose for your forecasting task.
Python programming: Kaggle primarily uses Python as its programming language. Therefore, studying Python programming would be essential for participating in Kaggle competitions. Topics to cover can include data manipulation, data cleaning, and implementing machine learning algorithms in Python.
Mar 10, 2017 · Kaggle is a community and site for hosting machine learning competitions. Competitive machine learning can be a great way to develop and practice your skills, as well as demonstrate your capabilities.
Winning a Kaggle Competition in Python. Learn how to approach and win competitions on Kaggle. Start Course for Free
