Stock Price Prediction Using Tesla Dataset In this project, I analyzed Tesla’s historical stock data to forecast future closing prices using machine learning models like Random Forest Regressor.

Abstract: Database normalization is one of the main principles for designing relational databases, which is the most popular database model, with the objective of improving data and system qualities, ...

FxNorm-Automix - Implementation of automatic music mixing systems. We show how we can use wet music data and repurpose it to train a fully automatic mixing system ...

Your browser does not support the audio element. Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something ...

Ntropy, a company offering an API that enriches transaction data for financial services businesses, today announced that it raised $11 million in a Series A round led by Lakestar with participation ...

Abstract: Data normalization is a fundamental preprocessing step for mining and learning from data. However, finding an appropriated method to deal with time series normalization is not a simple task.