Deep Learning Prerequisites: Linear Regression in Python
Deep Learning Prerequisites: Linear Regression in Python Course
Data science, machine learning, and artificial intelligence in Python for students and professionals
This Deep Learning Prerequisites Course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python. Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you’ll be returning to it for years to come. This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for FREE.
This Deep Learning Prerequisites: Linear Regression in Python Course focuses on “how to build and understand”, not just “how to use”. Anyone can learn to use an API in 15 minutes after reading some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.
Best Seller Course: Deep Learning Prerequisites: Logistic Regression in Python
What you’ll learn
- Derive and solve a linear regression model, and apply it appropriately to data science problems.
- Program your own version of a linear regression model in Python
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