What you will learn in this course?
About this course
Scikit-Learn is one of the most powerful, robust, fast and easy to use Python Libraries with clean API, It features various regression, clustering algorithms and classification including k-means , random forests, gradient boosting, support vector machines. It solves real-world problems within fractions in the areas like population analysis, health management and records, figuring out buying behavior of customer, and many more real life analytical problems.
In this course you will build powerful projects with the help of Scikit-Learn python library. Using provided algorithms, you will learn to read particular trends in the market to address and fulfill market demand. You'll examine more deeply to decode buying behavior of customers using various Classification algorithms includes in Scikit- Learn; cluster the population of a place to gain perception and insights into how to use K-Means Clustering; and create a model with the use of Support Vector Machine classifiers to predict heart disease in human body.
By the end of the course you will be expert at working on professional projects using Machine Learning algorithms and Scikit-Learn.
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