Decision Trees, SVMs and Random Forest | Practical Machine Learning with Scikit-Learn #2

In this video, we go over different types of classification algorithms that can be used in regression or classification, such as decision trees and support vector machines (SVM). We also go over logistic regression in scikit-learn

Code for this video:
github.com/KhanradCoder/LearnMachineLearning

Info on decision trees and entropy:
   • Tutorial 37: Entropy In Decision Tree Intu...  

Support Vector Machine Math:
   • Support Vector Machines - THE MATH YOU  SH...  

0:00 Preprocessing
6:03 Logistic Regression
11:21 Support Vector Machines (SVMs)
14:47 Decision Trees
17:48 Random Forest

It is important to note that feature scaling will not help decision tree accuracy.

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