Supervised Learning Models

Machine Learning    |    Beginner
  • 13 Videos | 39m 13s
  • Includes Assessment
  • Earns a Badge
Likes 45 Likes 45
Supervised learning is one of the most popular techniques in machine learning. Explore supervised learning models and how to use them to solve problems.

WHAT YOU WILL LEARN

  • describe the difference between classification and regression models and the use for each of them
    describe how decision trees can be applied regression problems
    describe the CART decision tree learning algorithm and how it's different from C4.5
    describe the random forests machine learning
    use SciKit Learn to build a random forest model in Python
    describe the logistic regression model
    use SciKit Learn to fit a logistic regression model
  • describe support vector machine models
    describe how to use kernel methods with support vector machines to model more complex data
    use SciKit Learn to train and support vector machines in Python
    describe the Naïve Bayes classifiers and how to train them
    use SciKit Learn to fit a Naïve Bayes classifier in Python
    describe different supervised learning models in Python

IN THIS COURSE

  • Playable
    1. 
    Classification vs. Regression
    3m 8s
    UP NEXT
  • Playable
    2. 
    Regression Trees
    1m 55s
  • Locked
    3. 
    CART Decision Tree Learning
    2m 8s
  • Locked
    4. 
    Random Forests
    1m 56s
  • Locked
    5. 
    Random Forests with Python
    3m 28s
  • Locked
    6. 
    Logistic Regression Model
    2m 7s
  • Locked
    7. 
    Logistic Regression in Python
    3m 14s
  • Locked
    8. 
    Support Vector Machines (SVM)
    1m 32s
  • Locked
    9. 
    Kernel Methods for SVMs
    1m 42s
  • Locked
    10. 
    Support Vector Machines in Python
    3m 45s
  • Locked
    11. 
    Naïve Bayes Classifiers
    2m 39s
  • Locked
    12. 
    Naïve Bayes Classifiers in Python
    3m 40s
  • Locked
    13. 
    Exercise: Supervised Learning in Python
    1m 59s

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