Cryptocurrencies have gained immense popularity in recent years as an emerging asset class, and their prices are known to be highly volatile. Predicting cryptocurrency is a difficult task due complex nature the absence of central authority. In this paper, our proposal employ Long Short-Term Memory (LSTM) networks, type deep learning technique forecast cryptocurrencies. We use historical price d...

The price of a new car in the industry is fixed by manufacturer with some additional costs incurred Government form taxes. So, customers buying can be assured money they invest to worthy. But, due increased prices cars and financial incapability buy them, used sales are on global increase. Therefore, there an urgent need for prediction system which effectively determines worthiness based multip...