Machine Learning Classification Repository

• This repository contains two classification projects: credit card default prediction and mobile price classification.
• I have used Logistic Regression, KNN Classifier, Random Forest Classifier, XG Boost Classifier, Light GBM Classifier, CatBoost Classifier, and SVM Classifier models for classification. In the end, deployed model using the Streamlit library.

Credit Card Default Prediction

• The goal of this project was to predict whether a credit card customer will default on their payment or not.
• We used the credit card default dataset obtained from Kaggle.
• We performed classification analysis using Logistic Regression, KNN Classifier, Random Forest Classifier, XG Boost Classifier, Light GBM Classifier, CatBoost Classifier, and SVM Classifier.

Mobile Price Classification

• The goal of this project was to classify mobile phones based on their price range. We will use the mobile price classification dataset obtained from Kaggle.
• Then we will performed classification analysis using Logistic Regression, KNN Classifier, Random Forest Classifier, XG Boost Classifier, Light GBM Classifier, CatBoost Classifier, and SVM Classifier.

Files and Folders

• credit_card_default_prediction: contains the code and data related to the credit card default prediction project.
• mobile_price_classification: contains the code and data related to the mobile price classification project.
• streamlit_deployed_models: contains the code for deploying the models using Streamlit.
• README.md: provides an overview of the repository.

Getting Started

To run the code in this repository, you need to have Python installed along with the following libraries: numpy, pandas, matplotlib, seaborn, scikit-learn, xgboost, lightgbm, catboost, and streamlit.

Conclusion

Overall, the classification models were able to predict the credit card default and mobile price classification with reasonable accuracy. The Streamlit library was used to deploy the models as a web app.

Thank you for visiting our machine learning classification repository!