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You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning.
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