Deep_Learning

Building deep learning models to solve some business problems.

Customer Churn Prediction

Implementing a predictive model to identify At-Risk clients and stop them from leaving using deep learning models (ann.py)

Face Recognition

Implementing a Face detection model to identify binary classification of Cats and Dogs using Convolution Neural Network (cnn.py)

Stock Price Prediction (finding trends)

Predicting Google Stock Price (predicting the trend) for Jan 2017 using Recurrent Neural Network with Long Short Term Memory having 60 timesteps (rnn.py)

Sales Forecast

Building a deep learning model to forecast sale for a retail business (SalesForecast.py)

Fraud Detection

Implementing a Self Organizing Map (SOM) to identify customers more likely to be a fraud and provide bank with the list of such customers ranked from highest probability (som.py)