Linear and Logistic regression are one of the most widely used Machine Learning algorithms. In this video on Linear vs Logistic Regression, you will get an idea about the basics of these tow algorithms and they differ in terms of concept and application. Finally, you will look at the two algorithms in action on two different datasets in a demo using Python. Let’s get started!
00:00:00 Introduction to Regression
00.01.28 Introduction to Classification
00.02.22. What is Linear Regression?
00.06.25 What is Logistic Regression?
00.10.25 Linear vs Logistic Regression
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4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
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