About Me
1. Gather mortgage related data, clean, preprocess, and perform feature engineering.
2. Conduct in depth exploratory analysis and visualize data to identify mortgage risk variables.
3. Select predictive features and engineer new ones to enhance the models predictive power.
4. Apply suitable machine learning algorithms, optimize hyperparameters, and evaluate model performance.
5. Utilize Python, Pandas, NumPy, SQL for data manipulation and analysis.
6. Visualize data using Matplotlib, Seaborn, Plotly.
7. Utilize Scikit learn, XGBoost, LightGBM, TensorFlow, Keras for model development.
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