Machine Learning with Python - Practical Application

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Xavier Morera

1:56:14

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01. Course Overview

01. Course Overview.mp4

01:45

02. Getting Your Hands Dirty with Machine Learning

02. The Right ML Tool for the Job.mp4

03:37

03. Getting ML Technical.mp4

03:07

04. Learning Styles and Algorithm Types.mp4

02:15

05. Platforms and Libraries.mp4

04:30

06. Takeaway.mp4

01:18

03. Regression

07. Introduction to Regression Algorithms.mp4

02:22

08. Linear Regression.mp4

05:39

09. Polynomial Regression.mp4

03:39

10. Lasso Regression.mp4

02:57

11. Ridge Regression.mp4

02:26

12. Perceptron Regression.mp4

03:17

13. Takeaway.mp4

01:38

04. Classification

14. Classification Algorithms.mp4

01:42

15. Logistic Regression.mp4

07:51

16. Naive Bayes.mp4

05:36

17. Support Vector Machines.mp4

04:04

18. K Nearest Neighbors.mp4

03:26

19. Decision Trees and Random Forests.mp4

04:52

20. Neural Networks.mp4

06:09

21. Convolutional Neural Networks.mp4

05:18

22. Takeaway.mp4

01:30

05. Dimensionality Reduction

23. Dimensionality Reduction.mp4

02:12

24. Linear Discriminant Analysis.mp4

03:51

25. Principal Component Analysis.mp4

03:07

26. T Distributed Stochastic Neighbor Embedding.mp4

02:59

27. Takeaway.mp4

01:00

06. Clustering

28. Clustering Algorithms.mp4

01:34

29. K Means.mp4

04:49

30. Gaussian Mixtures.mp4

03:53

31. Hierarchical Clustering.mp4

03:00

32. Affinity Propagation.mp4

02:18

33. Takeaway.mp4

01:10

07. Understanding Other Types of ML Problems

34. Other Types of Machine Learning Algorithms.mp4

05:12

35. Final Takeaway.mp4

02:11

Description

Many problems are solved using Machine Learning. This course will teach you how to pick the ML algorithm that can help you create the right ML model to solve the problem at hand.

What You'll Learn?

There are many ways to solve a problem using Machine Learning. Picking the right algorithm can make the difference between success or “burning down in flames”. In this course, Machine Learning with Python - Practical Application, you’ll learn how to pick the right ML model to solve your real-world problem. First, you’ll explore the characteristics of many real-world problems that can be solved using ML. Next, you’ll discover how each one of the types of algorithms can solve a particular problem and how. Finally, you’ll learn how to pick the right algorithm for your problem. When you’re finished with this course, you’ll have the skills and knowledge of ML needed to get started working on your problem and make the world a better place.

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Python

Machine Learning

Xavier Morera

Instructor's Courses

Xavier is very passionate about teaching, helping others understand search and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP. He has spent a great deal of his career working on cutting-edge projects with a primary focus on .NET, Solr, and Hadoop among a few other interesting technologies. Throughout multiple projects, he has acquired skills to deal with complex enterprise software solutions, working with companies that range from startups to Microsoft. Xavier also worked as a worldwide v-trainer/evangelist for Microsoft.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.