From 6192e33176e52259b9732e681d0eefa008d19250 Mon Sep 17 00:00:00 2001 From: Petr Simecek Date: Mon, 25 May 2020 14:55:03 +0200 Subject: [PATCH] Typo correction: dataser -> dataset --- 09_tabular.ipynb | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/09_tabular.ipynb b/09_tabular.ipynb index db54981..57adab3 100644 --- a/09_tabular.ipynb +++ b/09_tabular.ipynb @@ -246,7 +246,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The dataser we use in this chapter is from the Blue Book for Bulldozers Kaggle competition, which has the following description: \"The goal of the contest is to predict the sale price of a particular piece of heavy equipment at auction based on its usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations.\"\n", + "The dataset we use in this chapter is from the Blue Book for Bulldozers Kaggle competition, which has the following description: \"The goal of the contest is to predict the sale price of a particular piece of heavy equipment at auction based on its usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations.\"\n", "\n", "This is a very common type of dataset and prediction problem, similar to what you may see in your project or workplace. The dataset is available for download on Kaggle, a website that hosts data science competitions." ] @@ -9816,6 +9816,18 @@ "display_name": "Python 3", "language": "python", "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" } }, "nbformat": 4,