From e5c7cf7021be528fc8b930b6ab54973a2f341461 Mon Sep 17 00:00:00 2001 From: cfiutak1 Date: Tue, 2 Apr 2019 00:57:59 -0400 Subject: [PATCH] Update Part 1 - Introduction to Machine Learning with scikit-learn.md --- ... - Introduction to Machine Learning with scikit-learn.md | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/Part 1 - Introduction to Machine Learning with scikit-learn.md b/Part 1 - Introduction to Machine Learning with scikit-learn.md index 0a9a8e8..3902f40 100644 --- a/Part 1 - Introduction to Machine Learning with scikit-learn.md +++ b/Part 1 - Introduction to Machine Learning with scikit-learn.md @@ -42,7 +42,7 @@ If all goes well, you will see the following image appear on your screen - ![matplotlib result](images/part1_matplotlib_image.png)   -### 📚Further Reading +### 📚 Further Reading You can find other useful datasets in the [official scikit-learn documentation](https://scikit-learn.org/stable/datasets/index.html). --- @@ -72,13 +72,9 @@ X_train, X_test, y_train, y_test = train_test_split(digits.data, digits.target, In the above example, we import the `train_test_split` method from scikit-learn's `model_selection` sublibrary and use it to generate four smaller arrays: `X_train`, a two-dimensional array containing a certain amount of entries from the main dataset. Does not include the expected outcome of each data entry. - `Y_train`, a one-dimensional array containing the expected outcome of each data entry in `X_train`. -  - `X_test`, a two-dimensional array containing a certain amount of entries from the main dataset. Does not include the expected outcome of each data entry. - `Y_test`, a one-dimensional array containing the expected outcome of each data entry in `X_test`. Continuing our analogy of studying for a math exam,