💡[FEATURE]: Enhance Loan Status Prediction with Multiple Machine Learning Algorithms

[binguliki]

Feature Request: Enhance Loan Status Prediction with Multiple Machine Learning Algorithms

Problem Description: The current implementation of the Loan Status Prediction project uses only a single machine learning algorithm. To improve the accuracy and reliability of the predictions, it is essential to incorporate multiple machine learning algorithms and compare their performance.

Proposed Solution:

1. Exploratory Data Analysis (EDA) 🧐:

   • Conduct a thorough analysis of the dataset to understand the distribution and relationships between different features.
   • Visualize the data using plots and charts 📊 to identify any patterns or anomalies.
   • Perform data cleaning and preprocessing 🧹 as necessary to ensure the dataset is suitable for model training.

2. Model Selection 🤖:

   • Choose a diverse set of regression models to evaluate, including but not limited to:
     • Logistic Regression
     • Decision Trees 🌳
     • Random Forest 🌲
     • Gradient Boosting Machines (GBM) 🚀
     • Support Vector Machines (SVM)
     • Neural Networks 🧠
   • Justify the selection of each model based on its suitability for the dataset and problem.

3. Hyperparameter Tuning 🔧:

   • Perform hyperparameter tuning for each model to optimize their performance. Use techniques such as Grid Search or Random Search to find the best parameters.
   • Cross-validate the models to ensure they generalize well to unseen data.

4. Model Evaluation 📈:

   • Evaluate the performance of each model using various metrics, including:
     • Confusion Matrix
     • Precision
     • Recall
     • F1 Score
     • ROC-AUC Curve
   • Compare the results and select the best-performing model.

Additional Context:

• Hey @Akshat111111 bro👋, can you please assign me this issue and provide the appropriate GSSoC'24 contribution tag?
• Also, I would request you to close the similar issue that was raised earlier as the PR to it has already been merged.
• I will work on this issue with proper research to get better results.
• I would also add the appropriate visulizations to get better idea of the project

[binguliki]

@Akshat111111 Hey bro👋 , Can you please check the conflicts.