Loan Approval Prediction Machine Learning Model

I am looking for a Machine Learning developer to build a Loan Approval Prediction Model that predicts whether a loan application will be approved or rejected based on customer information and financial data. Requirements: - Data preprocessing and cleaning. - Exploratory Data Analysis (EDA). - Feature engineering and selection. - Implementation of the following Machine Learning algorithms: 1. Logistic Regression 2. Support Vector Machine (SVM) - Training, testing, and evaluation of the models. - Comparison of model performance using suitable metrics. - Clear explanation of the workflow and results. Expected Deliverables: - Python source code. - Trained models. - Performance evaluation (Accuracy, Precision, Recall, F1-Score, Confusion Matrix). - Documentation/report explaining the project. - Results comparison between Logistic Regression and SVM. The project details and dataset specifications will be discussed after selecting the freelancer.