This course covers data science, machine learning, and big data basics, including key concepts, libraries, and hands-on Kaggle projects for practical learning.
Beginner
93 Lessons
6h
Certificate of Completion
This course covers data science, machine learning, and big data basics, including key concepts, libraries, and hands-on Kaggle projects for practical learning.
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This course includes
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Course Overview
There is a lot of dispersed, and somewhat conflicting information on the internet when it comes to data science, making it tough to know where to start. Don't worry. This course will get you familiar with the state of data science and the related fields such as machine learning and big data. You will be going through the fundamental concepts and libraries which are essential to solve any problem in this field. You will work on real-time projects from Kaggle while also honing your mathematical skills whi...
Course Content
What is Data Science ?
Applications of Data Science
Overview of Libraries
Probability and Statistics
Machine Learning Part-1
Machine Learning Part-2
15 Lessons
Machine Learning Part-3
7 Lessons
Deep Learning
8 Lessons
Machine Learning Tools and Libraries
3 Lessons
Big Data Tools and Technologies
4 Lessons
Where to go next ?
3 Lessons
Course Author
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Anthony Walker
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Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
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