Hey ☺️, Welcome to my Loan prediction project using ML & EDA but it’s not reliable in real world because it uses mock data anyway in this project we will walk through:
- Analyzing the data to get useful insights about our mock company 🧑🏻💼
- Cleaning & Learning things about preprocessing & ML 🧑🏻🏫
- Creating ML app to predict the acceptance of a Loan so our company mock customers can use it🧑🏻💻
*please DON’T use this project for a real loan
Here’s a table for you to go anywhere in the project:
| Project Corner |
Link |
| GitHub Repo |
‣ |
| ML web app |
ML App |
| EDA notebook |
Notebook |
The skills I used at this project:
Project Parts & Sections 🥱
For this project, I divided it into three parts, each with its own focus:
- Data Cleaning & Preparation
- EDA (Exploratory Data Analysis)
- ML & ML Application
Project limitations 🚫:
- Time limitations: I couldn’t create a complete section for the staticall analysis in this project because of my project deadline and also I couldn’t use more frameworks nor creating bigger analysis because of the limited time.
- Experience limitations: For sorry the analysis visualization may not be the best of my data visualizations because this is the first time for me to use R and Tidyverse also my ML may be not the best I didn’t study it professionally but my models are enough for this task.
- Unavailable data: I couldn’t find real data for my project idea for sorry because banks don’t give their loans data & also I couldn’t find any online API for this use case so I had to go with a Kaggle dataset for sorry.