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A Full Course on Machine Learning

This complete machine learning course from experts with a decade of experience will teach you various machine learning concepts including algorithm implementation.

Speakers:     Data Science Instructor, Richard Kershner, Mohan Kumar

6 Hours 2 Minutes | 16 Videos | Attendees: 374 | Ratings:

This highly educational and detailed machine learning course will prepare you for a career path in machine learning. 

  • Learn about various algorithms like linear regression, logistic regression, K means clustering, decision tree, random forest, KNN algorithms, support vector machine, and naive bayes classifier. 
  • Understand how to implement these algorithms using Python.
  • Learn about applications for machine learning like virtual personal assistants and traffic predictions.  
  • Prepare for a machine learning interview with 30 popular interview questions.

$99.00

8 days 9 hours left for free!

Categories covered:

AI [Topic]

Artificial Intelligence [Topic]

Machine learning [Topic]

In partnership with:
Content

6h 2m total length

Basics of Machine learning

00:08:35
Why Machine learning?

00:09:27
Types of Machine learning

00:37:15
Logistic Regression

00:30:43
What is K-means Clustering?

00:08:53
Applications and how K-means cluster work?

00:39:38
What is Decision Tree?

00:37:52
What is Random Forest?

00:04:30
How Random Forest and Decision tree work?

00:37:52
K-Nearest neighbours algorithm tutorial

00:26:34
Support Vector Machine Algorithm

00:24:11
Introduction to Naive Bayes

00:41:56
Application of Machine Learning

00:05:10
How to become Machine Learning Engineer?

00:07:52
Machine Learning interview questions- Part I

00:46:28
Machine Learning interview questions- Part II

00:26:08
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