Linear Regression with NumPy and Python
This project-based course on Linear Regression with NumPy and Python is the perfect way to gain a deeper understanding of the fundamentals of machine learning. With Coursera's Rhyme platform, you can do projects in a hands-on manner in your browser with instant access to pre-configured cloud desktops containing all the software and data you need. No need to worry about setting up the environment, just focus on learning and mastering linear regression with Python and NumPy. Join now and start your journey to becoming a machine learning expert! ▼
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Course Feature
Cost:
Paid
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
17th 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:
By taking this course, learners will acquire the skills and knowledge necessary to understand and implement linear regression with NumPy and Python. This includes understanding the fundamentals of linear regression, gradient descent, and machine learning algorithms. Learners will also gain experience in using the Rhyme platform to do projects in a hands-on manner in their browser.
Professional Growth:
This course on Linear Regression with NumPy and Python provides an opportunity for professional growth by allowing learners to gain a deeper understanding of the fundamentals of machine learning. Through the hands-on project platform, learners will gain experience with Python, Jupyter, NumPy, and Seaborn, as well as the machinery of various learning algorithms, such as gradient descent and linear regression. This course provides a unique opportunity to gain a comprehensive understanding of the fundamentals of machine learning.
Further Education:
This course is suitable for preparing further education as it provides a comprehensive introduction to linear regression and machine learning fundamentals. It covers the implementation of various learning algorithms, such as gradient descent and linear regression, without the use of popular machine learning libraries. Additionally, the course runs on Coursera's hands-on project platform Rhyme, which provides instant access to pre-configured cloud desktops with all the necessary software and data. This allows students to focus on learning without having to worry about setting up the environment.
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