Retail

There could be thousands of factors which come into play when deciding whether a transaction is fraudulent. We use Genetic Algorithm to optimize the factors that are taken into account when classifying any credit card transaction as fraudulent.

Understanding the sentiments of your customers or your competitor's customers plays a vital role in your business strategy.

The LSTM architecture is a classic solution to this problem. The Model is able to perform binary classification on text labeling as having positive or negative sentiment.

Credit card frauds are one of the most common cyber security issues. Card not present transactions can lead to huge amount of transaction that are done by fraudulent person. Deep learning for catching the irrelevant pattern is used here. This model is used to detect fraudulent transactions and also genuine transaction

According to dogtime.com, there are 266 different dog breeds. This number is also just one figure, other sources give their figures much higher than this and it is pretty tough to distinguish between these breeds. For example, its very difficult to identify a Whippet from an Italian Greyhound for a person. This model tries to predict different dog breeds on the go.