Understanding Machine Learning: From Theory to Practice

This course offers a comprehensive foundation in ML concepts, algorithms, and real-world applications. You’ll explore the core principles of machine learning and hands-on exercises to build your understanding of how ML can solve complex problems.

Join the fascinating field of Machine Learning with this elaborate course! Designed for enthusiasts with zero prior knowledge, this course offers a comprehensive foundation in ML concepts, algorithms, and real-world applications. You’ll explore the core principles of machine learning and hands-on exercises to build your understanding of how ML can solve complex problems. Whether you're looking to start a career in tech or simply curious about the technology, this course is your gateway to mastering the foundation of ML.

This course is ideal for individuals aged 16 and above, including students and professionals, eager to explore the field of machine learning.

Pre-requisites:

No prior experience in machine learning or programming is required. Basic familiarity with Python and statistics is helpful but not mandatory.

Course Structure:

Module 1: Introduction to Machine Learning

Overview
Types of ML
Key Terminologies
Quiz-1

Module 2: Python for Machine Learning

Installation of tools/requisites
Python Basics
Introduction to ML Libraries
Quiz-2

Module 3: Classical Machine Learning

Basic ML Pipeline
Regression – Concepts, implementation, evaluation
Quiz-3
Classification – Introduction, algorithms, performance metrics
Quiz-4
Clustering Algorithm

Module 4: Introduction to Reinforcement Learning (RL)

Working of RL algorithms
Applications

Module 5: Ethical Considerations and Future Trends

Bias, Fairness and Privacy
Emerging trends and technologies in ML

Module 6: Course Wrap-up

Key takeaways
Q&A

₹ 3,499

ONE TIME PAYMENT

Billing information

Name

Phone number

Your payment is secured. You agree to share this information with Starklass.