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