Course Highlights
  • Explore advanced data science challenges through sample data sets, decision trees, random forests, and machine learning models
  • Train your model to predict the most effective way to handle a problem
  • Examine machine learning results, recognize data bias in machine learning, and avoid underfitting or overfitting data
  • Build a foundation for the use of Python libraries in machine learning and artificial intelligence, preparing you for future Python study
  • Build on your Python experience, preparing you for a career in advanced data science
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HarvardX: Machine Learning and AI with Python

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