Kaggle itself provides some great free resources and online courses, which can help you prepare for their contests. Here are a few:
1. **Kaggle Learn**: Kaggle's own "Learn" platform has a number of free, fast-paced courses designed to get you up to speed with the most important tools and techniques used in data science:
- **Python**: Teaches the basics of Python programming and data science.
- **Intro to Machine Learning**: Covers the fundamental concepts required to get started with machine learning.
- **Intermediate Machine Learning**: Introduces more complex machine learning models, including handling missing values and categorical variables, and using pipelines.
- **Data Visualization**: Teaches how to create beautiful and informative visualizations.
- **Pandas**: Introduces the Pandas library, which is fundamental for data analysis and manipulation in Python.
- **Deep Learning**: Covers the basics of deep learning, using the TensorFlow library.
- **Intro to SQL**: Teaches the basics of SQL, a fundamental tool for data manipulation and analysis.
You can find these courses at https://www.kaggle.com/learn.
Aside from Kaggle Learn, other platforms also offer free online courses that could be beneficial for participating in Kaggle contests:
2. **Coursera**:
- "Machine Learning" by Andrew Ng from Stanford University is one of the most famous machine learning courses available.
3. **edX**:
- "Principles of Machine Learning" by Microsoft is a part of the Microsoft Professional Program Certificate in Data Science.
4. **fast.ai**:
- This organization offers a practical deep learning course for coders, and a course on machine learning.
Remember, participating in Kaggle competitions is not only about learning new models and techniques, but also about applying what you've learned to solve real-world problems. Taking these courses and then participating in Kaggle competitions can help reinforce your learning.
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