Introduction to Machine Learning & Supervised Learning

Machine Learning    |    Beginner
  • 17 Videos | 54m 26s
  • Includes Assessment
  • Earns a Badge
Likes 155 Likes 155
Machine learning includes many different fields that focus on different problems. Explore what machine learning is and the fundamentals of supervised learning.

WHAT YOU WILL LEARN

  • define machine learning and how it can be used to solve a variety of problems
    define supervised machine learning
    describe the fundamentals of building machine learning models to solve a problem
    describe overfitting, how it can be a problem, and how to mitigate it
    evaluate machine learning models and compare them
    define the linear regression model for one and multiple variable problems
    describe the gradient descent algorithm for training linear regression models
    describe the k-nearest neighbor model and how to learn it
    describe decision tree models and how to learn decision trees using the C4.5 algorithm
  • setup SciKit Learn for Python
    import data, and perform basic tasks with SciKit Learn for Python
    use SciKit Learn to fit a linear regression model to a dataset
    use SciKit Learn's k-nearest neighbor model
    use SciKit Learn to fit a decision tree model to a dataset
    use SciKit Learn and GraphViz to generate a decision tree model from a dataset
    use SciKit Learn to calculate the precision and the recall of different machine learning models in Python
    implement a linear regression model and Python and fit it to a dataset

IN THIS COURSE

  • Playable
    1. 
    What Is Machine Learning?
    3m 13s
    UP NEXT
  • Playable
    2. 
    Supervised Learning
    2m 35s
  • Locked
    3. 
    How to Build Models
    2m 50s
  • Locked
    4. 
    Overfitting
    1m 47s
  • Locked
    5. 
    Precision and Recall
    2m 39s
  • Locked
    6. 
    Linear Regression Model
    1m 25s
  • Locked
    7. 
    Gradient Descent Optimization Algorithm
    1m 26s
  • Locked
    8. 
    k-Nearest Neighbor (kNN)
    2m 12s
  • Locked
    9. 
    Decision Tree Learning
    2m 19s
  • Locked
    10. 
    Introducing SciKit Learn for ML in Python
    5m 17s
  • Locked
    11. 
    Getting Started with SciKit Learn
    2m 42s
  • Locked
    12. 
    Linear Model and Gradient Descent with SciKit Learn
    2m 26s
  • Locked
    13. 
    k-Nearest Neighbor With SciKit Learn
    3m 28s
  • Locked
    14. 
    Decision Tree Learning With SciKit Learn
    2m 22s
  • Locked
    15. 
    Generating a Tree
    4m 52s
  • Locked
    16. 
    Precision and Recall With SciKit Learn
    2m 54s
  • Locked
    17. 
    Exercise: Use Python for Linear Regression
    1m 58s

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