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module designed to make your data preprocessing experience easier

Project description

IslanderDataPreprocessing

This python package was designed to help python developers who want to get in to machine Learning have an easier way to do so. currently there are 6 modules in this package, this number will grow as the Islander Robotics Community works more and more with machine Learning and Artificial Intelligence.

#DataBase

DataBase(API_command) currently this module only works with downloading and installing datasets from the Kagle website.

API_command: this is where you will insert the designated API command from the Kagle website

datasets: this list is where all of the datasets you downloaded at the current time of running the module will be stored as a pandas DataFrame allowing you the ability to save time by not having to uploaded the datasets again.

filename: this module will allow you the ability to see what index each file is stored in the datasets list. as well as you will have the ability to know what files where downloaded from Kagle.

#DataCorrelation

DataCorrelation(df) This module is designed to allow you the ability to see what parts of your data have high correlation between them from there you will be able to use the information to combine those columns for the best results

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