Course Details
Machine Learning
This course first introduces various preprocessing steps and feature selection/engineering methods needed for machine learning algorithms. Students will learn different supervised and unsupervised machine learning approaches for creating predictive models. Finally, the students will learn the basics of model optimization and validation techniques.
This course is part of the following program(s)
1. Applied Data Analytics
Why This Course?
Upgrading Skills
After completing this course, students will be able to:
Learn the data preprocessing, feature engineering, feature selection techniques
Learn the concepts and develop machine learning models.
Learn model validation and optimization techniques
Employment Opportunity
Data analyst
Data Engineer
Data scientist
Main Topics
Introduction to Machine Learning
Preprocessing for Machine Learning in Python (Date preprocessing, Standardizing Data, Feature Engineering, Feature Selection)
Supervised Learning
Unsupervised Learning in Python
Model Validation
Training Methods
Instructor-led online lectures
Simulated/Offline labs
