Machine learning in Python with scikit-learn
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What you'll learn
This course includes
- 7 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 11 lessons • 7 hours of video
Machine learning in Python with scikit-learn
11 lessons
• 7 hours
Machine learning in Python with scikit-learn
11 lessons
• 7 hours
- How do I encode categorical features using scikit-learn? 27:59
- What is machine learning, and how does it work? 10:21
- Setting up Python for machine learning: scikit-learn and Jupyter Notebook 14:38
- Getting started in scikit-learn with the famous iris dataset 15:26
- Training a machine learning model with scikit-learn 19:49
- Comparing machine learning models in scikit-learn 26:42
- Data science in Python: pandas, seaborn, scikit-learn 34:30
- Selecting the best model in scikit-learn using cross-validation 35:54
- How to find the best model parameters in scikit-learn 27:46
- How to evaluate a classifier in scikit-learn 54:47
- Machine Learning with Text in scikit-learn (PyCon 2016) 02:40:15
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