Unit 8
- Final Assignment - Define ML Problem and Build Own Model(s)
For the last assignment as part of the Intro to Machine Learning Course provided by the Break Through Tech program, I was tasked to define my own ML problem utilized course-approved datasets.
Initially, I was inspired by our Neural Network Sentiment Analysis notebook, so I wanted to create a neural network that could predict the author based on a dataset of book reviews. The bookReviews dataset had to be reoganized and cleaned for proper author and book columns. I realized this was time-consuming. I had trouble verifying if a reader was referring to a book series or if they even mentioned a book title. Essentially, I had no idea which authors and which books they were referring to.
I had to pivot, so I changed my plan and defined a new problem: to predict if an individual's income was greater than 50k, given a variety of personal data from the USA census.
In the Unit 8 folder, Lab_DefineAndSolveMLProblem.ipynb contains my process and analysis, or free feel to view the pdf version under a similar name.
You can clone this repo to run the notebook yourself to see the models,