Course

Classification: Level 02

This course will enable learners to get started with the basic classification techniques required to predict categorical values. At the end of this course, learners will also be able to determine areas where KNN, NBC and logistic regression can be applied and understand model evaluation techniques.

4 Lessons
Outcomes

By the end of the course, learners will be able to:

  • Apply Logistic Regression for classification
  • Know simple ML algorithms like K-Nearest Neighbor (KNN) and Naive Bayes Classifier (NBC)
  • Validate and evaluate the models and improve their performance through various methods
 Level: 02
Duration: 06 Hours
Pre-requisites:  Refer Topics on Mathematics
What’s next: TBD