Given historical data on loans given out with information on whether or not the borrower defaulted (charge-off), can we build a model thatcan predict wether or nor a borrower will pay back their loan? This way in the future when we get a new potential customer we can assess whether or not they are likely to pay back the loan. Keep in mind classification metrics when evaluating the performance of your model!

• Data Cleaning and preprocessing.
• Feature Engineering.
• Data Visualization and Exploratory Data Analysis.
• Data Normalization and Scaling.
• Training using Sequential Model with Dense Layers having "relu" activation and final Dense output layer as "Sigmoid" as its a Binary class Classification task.
• Compiled using AdamOptmizer as optmizer and binary_crossentropy as the loss function.
• Solving Overfitting issues using EarlyStoppings Callbacks and Dropout Layers in Network.
• Hyperparameter Tuning the Algorithms yielding best results.
• Testing the model on custom reallife data.

https://www.kaggle.com/wordsforthewise/lending-club

• TensorFlow 2
• Keras
• Scikit-Learn
• Seaborn
• Matplotlib
• Pandas
• Numpy