Course description

Machine Learning with Python – Short Course Description:

This course introduces the fundamentals of Machine Learning using the Python programming language. It covers key concepts such as data preprocessing, supervised and unsupervised learning, model building, and evaluation techniques. Learners will gain hands-on experience with popular libraries like NumPy, Pandas, Matplotlib, and Scikit-learn to build real-world ML models. By the end of the course, students will be able to analyze data, create predictive models, and apply machine learning techniques to solve practical problems.

What will i learn?

• Understand core concepts of Machine Learning Learn data preprocessing and visualization techniques Build and evaluate machine learning models Work with real-world datasets Gain confidence to start ML projects independently

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