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Author: Admin | 2025-04-28
Program displays the predicted prices to the user in a simple and intuitive web interface. The user can select a coin and the number of days for which they want to predict prices, and the program will display the predictions in a table. User Interaction: The program provides an interactive form for the user to input their preferences. It also handles invalid inputs gracefully by displaying an error message. Security Measures: The program ensures the security of sensitive data such as API keys and private keys. It uses secure connections and encrypts sensitive data.Which machine learning model is best for crypto price prediction?Among the various machine learning models for crypto price prediction, the Linear Regression model is most optimal for predicting crypto prices because it is simple to understand and implement, and works well with linearly separable data. This model assumes a linear relationship between the input variables (independent variables) and a single output variable (dependent variable).When this assumption holds true, Linear Regression can provide a good baseline model for crypto price prediction. However, it’s important to note that crypto prices are influenced by a multitude of factors and may not always exhibit a linear relationship. Therefore, more complex models may sometimes offer better predictive performance. Always remember to validate the assumptions of your model and test its performance using appropriate metrics.PrerequisitesBefore we start, ensure you have the following: Python 3.7 or higher installed on your system. Python is a powerful, easy-to-learn programming language that we will use to build
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