Introduction to Machine Learning with scikit-learn
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Introduction
Welcome to the course!
Download the course notebooks
1. What is Machine Learning, and how does it work?
Lesson 1
Quiz 1
2. Setting up Python for Machine Learning: scikit-learn and Jupyter Notebook
Lesson 2
Quiz 2
3. Getting started in scikit-learn with the famous iris dataset
Lesson 3
Quiz 3
4. Training a Machine Learning model with scikit-learn
Lesson 4
Quiz 4
5. Comparing Machine Learning models in scikit-learn
Lesson 5
Quiz 5
Intermission
Can I ask you a quick favor?
6. Data science pipeline: pandas, seaborn, scikit-learn
Lesson 6
Quiz 6
7. Cross-validation for parameter tuning, model selection, and feature selection
Lesson 7
Quiz 7
8. Efficiently searching for optimal tuning parameters
Lesson 8
Quiz 8
9. Evaluating a classification model
Lesson 9
Quiz 9
10. Building a Machine Learning workflow
Lesson 10
Quiz 10
Conclusion
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Request your certificate of completion
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Products
Course
Section
Lesson
Welcome to the course!
Welcome to the course!
Introduction to Machine Learning with scikit-learn
Buy now
Learn more
Introduction
Welcome to the course!
Download the course notebooks
1. What is Machine Learning, and how does it work?
Lesson 1
Quiz 1
2. Setting up Python for Machine Learning: scikit-learn and Jupyter Notebook
Lesson 2
Quiz 2
3. Getting started in scikit-learn with the famous iris dataset
Lesson 3
Quiz 3
4. Training a Machine Learning model with scikit-learn
Lesson 4
Quiz 4
5. Comparing Machine Learning models in scikit-learn
Lesson 5
Quiz 5
Intermission
Can I ask you a quick favor?
6. Data science pipeline: pandas, seaborn, scikit-learn
Lesson 6
Quiz 6
7. Cross-validation for parameter tuning, model selection, and feature selection
Lesson 7
Quiz 7
8. Efficiently searching for optimal tuning parameters
Lesson 8
Quiz 8
9. Evaluating a classification model
Lesson 9
Quiz 9
10. Building a Machine Learning workflow
Lesson 10
Quiz 10
Conclusion
Can I ask you a quick favor?
Request your certificate of completion
Take another course from Data School!
Earn money by promoting Data School's courses!
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