Machine Learning Tutorial | Machine Learning Course | Machine Learning Projects 2022 |Simplilearn
Taha GÖÇER
About this course
This comprehensive course covers machine learning fundamentals, algorithms, and applications using Python. Learn about supervised and unsupervised learning, essential algorithms like linear regression, logistic regression, decision trees, and K nearest neighbors, as well as dimensionality reduction techniques. Explore real-world applications in healthcare, finance, and e-commerce through engaging examples and projects.
What you should already know
Basic programming knowledge in Python and a foundational understanding of mathematics and statistics are required before taking this course.
What you will learn
By the end of this course, learners can expect to have a thorough understanding of machine learning concepts and be able to apply various algorithms to solve real-world problems.