At first I wanted to cover Data Science/Machine Learning, but after realizing this was far too broad of a topic to cover in three installments, I picked Linear Regressions as a more specific focus.
I picked this topic for a few reasons, the main one being that we covered Linear Regressions in the grad program I am a part of. After taking a break from the program, my skills and knowledge got a bit rusty, so I want to review this topic before resuming my coursework.
I think Data Science and Machine Learning is an interesting topic to a lot of people, and I want to effectively communicate how to perform and interpret a commonly used model without getting bogged down in the underlying math.
Series Title: How to Perform and Interpret Linear Regressions
Entry 1: What Type of Data is Suitable for Linear Regressions?
Entry 2: How to Perform Linear Regressions Using Python and sci-kit learn.
Entry 3: How to Interpret Results Generated by Linear Regressions.
I am a self-taught web developer with a focus on the front end. Currently, I am working as a manufacturing scientist in the life science field. My goal is to transition to the tech field by 2022.
At first I wanted to cover Data Science/Machine Learning, but after realizing this was far too broad of a topic to cover in three installments, I picked Linear Regressions as a more specific focus.
I picked this topic for a few reasons, the main one being that we covered Linear Regressions in the grad program I am a part of. After taking a break from the program, my skills and knowledge got a bit rusty, so I want to review this topic before resuming my coursework.
I think Data Science and Machine Learning is an interesting topic to a lot of people, and I want to effectively communicate how to perform and interpret a commonly used model without getting bogged down in the underlying math.
Series Title: How to Perform and Interpret Linear Regressions
Entry 1: What Type of Data is Suitable for Linear Regressions?
Entry 2: How to Perform Linear Regressions Using Python and sci-kit learn.
Entry 3: How to Interpret Results Generated by Linear Regressions.
This is a great topic. I first got hooked into data science by Kirill Eremenko and his SuperDataScience podcasts. Looking froward to your posts.