Machine Learning
Created by Shadman Sakib
Last updated 03 December 2025
English
This Machine Learning course introduces you to the core concepts, algorithms, and real-world applications of intelligent systems. You will learn how machines recognize patterns, make predictions, and improve automatically using data. The course covers supervised, unsupervised, and basic deep learning techniques, along with practical model-building using Python, Scikit-learn, and related tools. Through hands-on exercises, you’ll work on real datasets to train models, evaluate performance, and optimize results. You will also understand how ML is used in industries like healthcare, finance, marketing, and automation. By the end of the course, you will be able to create, test, and deploy machine learning models confidently.
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