Course description

Course Overview

This course is designed to provide participants with the knowledge and skills necessary to use Python for machine learning applications. Participants will learn the fundamentals of machine learning and how to implement various algorithms using Python.

Key Learning Objectives

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

• Understand the basics of machine learning
• Use Python libraries such as NumPy, Pandas, and Scikit-Learn for machine learning
• Implement classification, regression, and clustering algorithms using Python
• Evaluate and interpret the results of machine learning models

Requirements

Participants should have a basic understanding of Python programming and data analysis techniques.

Outcomes

Upon completion of the course, participants will be able to:

• Utilize Python for various machine learning tasks
• Build and evaluate machine learning models using Python libraries
• Apply machine learning algorithms to real-world datasets

Certification

Participants who successfully complete the course will receive a certificate of completion in Python Machine Learning.

What will i learn?

• Understand the basics of machine learning
• Use Python libraries such as NumPy, Pandas, and Scikit-Learn for machine learning
• Implement classification, regression, and clustering algorithms using Python
• Evaluate and interpret the results of machine learning models
• Requirements
• Participants should have a basic understanding of Python programming and data analysis techniques.
• Outcomes
• Upon completion of the course,