This course facilitates a 16 hours self-paced interactive course. It shows how to write simple codes in python programming language for data science to build predictive and practical machine learning applications. The course demonstrates a step-by-step method to read data in python, explore & gather information about/from the data, analyze for patterns and trends, train and test linear and non-linear data models using simple machine learning approaches. This course is fully supported with on-the-go video lectures, quizzes and project activity.
The course is aimed for beginners by presenting simple, useful and interesting examples on machine learning. You will learn how to apply and use data engineering & machine learning techniques to solve 16 varied types of problem statements. In addition, the quiz section will help gauge your understanding towards these concepts.
This program is designed by our dedicated and industry experienced professionals who qualify in every aspect to support and maintain the learning resources presented to you.
Refer the below section of this page to know more about the program structure and course content.
TECHNOLOGY USED: Python core, Python for statistics and Python for Machine Learning
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