3. Input data

Data is the fuel of Machine Learning. Algorithms are used to uncover patterns from this data so that new predictions can be made or actionable insights can be acquired. NewxtBrain works with labeled tabular data, which is organized in columns and rows, like in a spreadsheet table. Labeled means that each column must have an identifying name.
NextBrain accepts data coming from different sources:
Directly from Google Sheets
Data stored in a hard disk with a spreadsheet format (xls, xlsx, xlsm, xlsb).
Files with the following formats: csv, txt, sav, odf, ods or odt.
The above mentioned data formats (but not directly from Google Sheets) but compressed in a .zip file.
Data stored in a database.
Data from an url

Furthermore, NextBrain includes different demonstration datasets available as templates. This template includes both the dataset and an explanation of the solutions Machine Learning can get from it.

Updated on: 29/09/2022