➤ Skip Intro: .
Introduction .
Agenda .
Intro to Machine Learning .
Linear Regression .
Logistic Regression .
Decision Tree .
Random Forest .
Naive Bayes .
SVM.
Syllabus
Taught by
Great Learning
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