From e1c46ec164ca0ce1542f1612658e6ef024df28d5 Mon Sep 17 00:00:00 2001
From: NadiaBlostein <nadia.blostein@mail.mcgill.ca>
Date: Sun, 21 Jul 2024 18:30:19 -0400
Subject: [PATCH] --neurolibre-debug

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 README.md | 2 ++
 1 file changed, 2 insertions(+)

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+[![Binder](https://test.conp.cloud/badge_logo.svg)](https://test.conp.cloud/v2/gh/NadiaBlostein/Project-Prep-Series-02-Data-Preparation/HEAD)
+
 Data preparation is a critical prerequisite to any data analysis or machine learning application. The purpose of the following workshop is to familiarize students with some data preparation (ie preprocessing) basics in Python 3+, using .csv and .png files.
 
 Part 1 will focus on .csv data preparation and we will be going through the `CSV_preparation.ipynb` notebook. This notebook contains a mini assignment, the answers of which can be found in `CSV_preparation_mini_assignment_answers.ipynb`.