Complete Introduction to Data Science and Machine Learning from Basic to Advanced.
Sub Category
- Data Science
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Objectives
- Students will develop understanding of libraries used for Data Analysis like Pandas and Numpy.
- Learn to create impactful visualizations using Matplotlib and Seaborn. By creating these visualizations you will be able to derive better conclusions from data.
- After this course you will learn to build complete Data Science Pipeline from Data preparation to building the best Machine Learning Model.
- The course contains practical section after every new concept discussed and the course also has two projects at the end.
Pre Requisites
- Basic understanding of Python Programming Language.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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