Title: Loan Amount Prediction using Machine Learning

[neyhere07]

Project Description :-

This project aims to predict the loan amount that an applicant is eligible for based on various features. The dataset used in this project is sourced from Kaggle.

Libraries Used :-

• Scikit-Learn
• Numpy
• Matplotlib

Algorithms Implemented :-

• Random Forest
• Naive Bayes (NB)
• Decision Tree
• KNeighbors
• Support Vector Machine (SVM)

Dataset Source :-

The dataset used in this project is obtained from the Kaggle website. Below is the link of the data set: https://www.kaggle.com/datasets/altruistdelhite04/loan-prediction-problem-dataset?resource=download&select=train_u6lujuX_CVtuZ9i.csv

Project Details :-

The project includes:

1. Data Cleaning and Preprocessing
2. Exploratory Data Analysis (EDA) using visualizations
3. Implementation of multiple machine learning algorithms
4. Evaluation and comparison of model performances
5. Final model selection and prediction

I am a GSSOC'24 contributor. Please assign this issue to me. @Kushal997-das

[github-actions[bot]]

It's great having you contribute to this project

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[github-actions[bot]]

@neyhere07

It's great having you contribute to this project

Thanks for opening thisIssue 🙌, Welcome to Project Guidance 💖 We will review everything and get back to you.
Make sure to give a star to this repo before making a fork! Thank you :)