• Objective of this project is to use Machine learning techniques to predict price fluctuations with sufficient accuracy to achieve profits in the real world.
• To experiment and develop Feature Selection and Analysis Techniques to optimise the Prediction accuracy for each of the target digital currencies like Ethereum.
• Deployed the ARIMA Model and Visualised the data. Achieved an Accuracy of 90%.