This project is about building a regression model, where you will be given students scores like GRE Score, TOEFL Score,University Rating,SOP,LOR,CGPA
and you would need to build a model that predicts the chance of admission to the university. This helps students to think if they can invest money and time to look for admission.
Build a model to predict student chance of admission.
1. Document the hypothesis
2. Loading the data
3. Understanding the data
4. Preprocessing with Exploratory Data Analysis (EDA)
5. Missing value and outlier treatment (if any)
6. Feature Engineering
7. Model Building - Build multiple models and select the best one.
S.No. |
Description |
Code File |
Solution File |