Cryptocurrency, also referred to as digital currency, protects transaction records, controls the creation of new coins, and verifies ownership transfers by employing high quality encrypting. A ledger that exists as a computerised database maintains records of coin ownership. It is challenging to estimate a price of the crypto currency because it is used on a broad scale now and its share can increase or drop suddenly. For the purpose of predicting Cryptocurrency prices, a machine learning model is developed in this paper. To build a more accurate model for outcome prediction, data science technique is applied. The key steps in creating a successful model are variable identification and data comprehension. The performance of each machine learning algorithm is evaluated by comparing its reliability to the precision of the pre-processed data. Improved performance measures for the model, such as accuracy, recollection, and scoring, are also taken into account for evaluation. To forecast the cryptocurrency, one employs a machine learning system.