Machine Learning with Python

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What Will You Learn?

  • Describe the various types of Machine Learning algorithms and when to use them
  • Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression
  • Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees
  • Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics

Course Content

Module 1: Introduction to Machine Learning

  • Course Introduction
    00:00
  • Welcome
    00:00
  • Introduction to Machine Learning
    00:00
  • Python for Machine Learning
    00:00
  • Supervised vs Unsupervised
    00:00

2 quizzes

Module 2: Regression

2 quizzes

2 app items

Module 3: Classification

1 reading

2 quizzes

5 app items

Module 4: Linear Classification

1 reading

2 quizzes

3 app items

Module 5: Clustering

2 quizzes

1 app item

Module 6: Final Exam and Project

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