Challenge1 of #100MLProjects | Predicting Graduate Admissions | #laxmena
This is my Project #1 of #100MLProjects Challenge. I started this 100MLProjects challenge as a way to master Machine Learning and Deep Learning by doing projects. I have written more descriptively here: Journey towards ML DL Mastery.
This is the first mile in my 100-mile journey ahead! I wanted to start simple, go basic. So anyone else interested in this journey can join me, even beginners.
I have a habit of downloading and storing interesting datasets locally on my computer so that I don't have to spend a lot of time searching for datasets when I’m trying to learn or build a new model. While skimming through the datasets, Graduate Admissions Dataset struck my eye. Also, given my recent experiences with the Graduate Admission application process, this dataset definitely piqued my interest.
This is a sample dataset with data collected from 400 students and doesn't represent the big picture as a whole. But I still found it interesting.
As of Machine Learning is concerned, I’m starting with basics. Given the GRE Score, TOEFL Score, University Rating, CGPA, SOP, and LOR Ratings - I want to build a model that predicts the probability of getting an admit.
Computing probability is a regression problem, so in this project, I built 4 regression models(without any hyper parameter tunings) and compared each model based on its accuracy, mean absolute errors, and RMSE.
The visualizations created in this project are mostly self intuitive, and really fascinating. I have also added my inferences to express my opinions.
Note: This is not intended to be a tutorial blog. If you want a separate tutorial blog explaining the technical jargon, nitty-gritty details, and how to build machine learning models, leave a comment down below or ping me on LinkedIn. So that I could do make one for you.
Here is my I-Python notebook file of this project. Scroll through this file to see visualizations and interpretations regarding Graduate Admissions.
Mobile users might not be able to view the below embedded gist, so click this link: Project1-GoogleColab
GitHub Repository of #100MLProjects: https://github.com/laxmena/100MLProjects
