Linear Regression with Python
This 2-hour long project-based course is perfect for those who want to learn how to implement Linear Regression using Python and Numpy. It is an important concept for those who want to break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations of linear regression available, this course will focus on the practical aspect of implementing linear regression with gradient descent. It is best suited for learners based in the North America region, with plans to expand to other regions. ▼
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Course Feature
Cost:
Paid
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
31st Jul, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 18th, 2023]
Skills and Knowledge:
This course will provide learners with the skills and knowledge to implement Linear Regression using Python and Numpy. Learners will gain an understanding of the mechanics of optimization algorithms and the training process. They will also learn how to use popular machine learning frameworks to implement linear regression. Additionally, learners will gain a practical understanding of linear regression and gradient descent.
Professional Growth:
This course provides an opportunity for professional growth by teaching learners how to implement Linear Regression using Python and Numpy. By understanding the mechanics of optimization algorithms and the training process, learners can gain a better understanding of the fundamentals of Machine Learning and Deep Learning. This course is project-based, so learners will gain practical experience in implementing linear regression with gradient descent. It is best suited for learners based in the North America region, but the same experience is being worked on for other regions.
Further Education:
This course is suitable for preparing further education in the field of Machine Learning and Deep Learning. It provides a practical approach to implementing Linear Regression with Gradient Descent, which is an important concept for those looking to break into these fields. However, it is important to note that learners should have a theoretical understanding of linear regression and gradient descent prior to taking this course. Additionally, this course works best for learners who are based in the North America region.
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