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Machine Learning Concepts
Description
Lessons
Reviews
Description
TBW
What will you learn
TBW
Requirements
TBW
Section
7 Sections
Introduction to Machine Learning
Introduction to Machine Learning
12 mins
K-Nearest Neighbors (KNN) Theory
K-Nearest Neighbors Theory
7 mins
Random Forest Theory
Random Forest Theory
8 mins
Gradient Boosting Theory
Gradient Boosting Theory
7 mins
Support Vector Machine Theory
Support Vector Machine Theory
10 mins
Naive Bayes Theory
Naive Bayes Theory
7 mins
Study Material
Section 1
10 mins
Section 2
10 mins
Section 3
10 mins
Section 4
10 mins
Section 5
10 mins
Section 6
10 mins
Reviews
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