Supervised Machine learning

Dr Rashmi Agrawal
Last Update June 14, 2021
2 already enrolled

About This Course

This course introduces you to types of supervised Machine Learning techniques- Classification and regression. You will learn various classification and regression algorithms like decision tree, naïve bayes, KNN algorithm and Decision tree. You will also learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models.

Target Audience

  • This course targets aspiring data scientists interested for learning Supervised Machine Learning techniques

Curriculum

7 Lessons

Introduction to supervised learning

Quadrant 200:00:00
Quadrant 300:00:00
Quadrant 4

Types of Supervised Learning

Decision Trees

K Nearest Neighbor (kNN) Algorithm

Applications of Supervised Learning

Your Instructors

Dr Rashmi Agrawal

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