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Linear Regression with Python

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Gain practical experience in implementing Linear Regression with Numpy and Python, understand its significance in Deep Learning, require prior theoretical knowledge of gradient descent and linear regression, and catered primarily to students in the North American region with future plans for global accessibility.

Key AI Functions:Data Science,Python Programming,Linear Regression,Machine Learning,Deep Learning

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Description for Linear Regression with Python

Features of Course

Learn to implement Linear Regression with Numpy and Python in a project-based course spanning two hours.

Understand the importance of Linear Regression for Deep Learning and Machine Learning, gaining insight into the training process and optimization algorithms.

Prior theoretical knowledge of gradient descent and linear regression is required, focusing on practical implementation rather than theoretical concepts.

Effective for students in the North American region, with plans for expanding accessibility to other regions in the future.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours

Schedule: Hands-on learning

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