This beginner-friendly course is designed to give IT professionals and aspiring data practitioners a solid foundation in machine learning using Python. You’ll learn the core principles of supervised and unsupervised learning, model evaluation, and data preprocessing—entirely through hands-on projects and real-world scenarios.
The course introduces essential tools like Scikit-learn, Pandas, and Matplotlib, enabling you to build and test models with confidence. Step by step, you'll gain the skills needed to understand how machine learning works, apply algorithms to datasets, and interpret model performance—all without needing prior AI experience.
By the end of this course, you'll be able to:
Understand key machine learning concepts and terminology
Prepare and process data for model training
Build, test, and evaluate ML models using Python
Apply learned techniques to real-world datasets
Take the next step toward more advanced AI and data science training
This course is ideal for IT professionals, analysts, and anyone looking to enter the world of AI with a strong, practical starting point.