Machine Learning A-Z: Hands-On Python & R In Data Science
Teacher
Prof. Dr. Nadeem AhmadLast Update
06-December-2025
- Discription
Course Overview
This comprehensive course covers the fundamentals of machine learning using Python and R. You’ll learn data preprocessing, regression, classification, clustering, and deep learning. With practical exercises and real-world datasets, this course is perfect for beginners and intermediate learners looking to master ML algorithms.
Requirements
Before enrolling, ensure you meet the basic prerequisites. These may include foundational knowledge, necessary tools, or specific skills required to fully benefit from the course. Check the list of requirements to make sure you're prepared for a smooth learning experience!
- Basic programming knowledge
- familiarity with high school math
- no prior ML experience needed
Description
This course provides a step-by-step guide to machine learning, starting from data preprocessing to building advanced models like SVM, Decision Trees, and Neural Networks. You'll work on real-world projects, including customer segmentation and stock price prediction. The instructors break down complex concepts into easy-to-understand lessons, making it ideal for anyone looking to enter the field of AI. By the end, you'll be able to build and deploy ML models confidently.
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