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Machine Learning Concepts

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

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₹3000.0

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What's included

Mobile support
Lesson archive
Course certificate