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Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for regular NN given only today's data, observing and comparing time series for various models. Additionally finding best value for N previous days and bidirectional LSTM for experiments.
Get performance metrics and graphs of a scorecard
Build a response model for predicting the probability of a response from each prospect and target the ones most likely to respond to the telemarketing campaign. The objective is to reduce the cost of the bank by doing a targeted campaign.
Classifying Credit Card transactions as fraudulent or genuine using Classification techniques.