Python for Machine Learning: The Complete Beginner's Online Course

The Python for Machine Learning: The Complete Beginner’s Online Course is designed to introduce learners to the essential concepts, algorithms, and applications of machine learning using Python. This beginner-friendly program combines theory and hands-on practice, guiding learners through the step-by-step process of building, training, and evaluating machine learning models. With Python as the foundation, the course emphasizes practical coding, algorithm implementation, and real-world problem-solving skills.

Participants will learn how to set up Python environments, explore core machine learning algorithms, and implement techniques including linear regression, logistic regression, decision trees, K-nearest neighbors, clustering, and recommender systems. By focusing on simplicity and clarity, this course ensures that learners with no prior machine learning experience can confidently develop predictive models and understand the fundamentals of artificial intelligence.

Learning Outcomes

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

1. Understand key concepts and foundations of Python for machine learning.
2. Set up Python environments and implement machine learning algorithms effectively.
3. Apply regression techniques for predictive analysis and model development.
4. Use classification algorithms for structured decision-making and data categorization.
5. Implement clustering and recommender systems for real-world applications.
6. Build confidence in coding and analyzing machine learning projects independently.

Course Link : Python for Machine Learning: The Complete Beginner's Online Course

Course Curriculum

• Section 01: Introduction to Machine Learning
• Section 02: Setting Up Python & ML Algorithms Implementation
• Section 03: Simple Linear Regression
• Section 04: Multiple Linear Regression
• Section 05: Classification Algorithms: K-Nearest Neighbors
• Section 06: Classification Algorithms: Decision Tree
• Section 07: Classification Algorithms: Logistic Regression
• Section 08: Clustering
• Section 09: Recommender System
• Section 10: Conclusion

Disclaimer:

This is an online course with pre-recorded lessons. You will get access to the course within 48 hours after your enrolment.