From 87632f4823014be9609ed5486b015388b6c85f02 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Tue, 8 Jun 2021 12:31:53 -0400 Subject: [PATCH] classification 1 assignment --- 4-Classification/1-Introduction/README.md | 2 +- 4-Classification/1-Introduction/assignment.md | 10 ++++++---- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/4-Classification/1-Introduction/README.md b/4-Classification/1-Introduction/README.md index 7c3d56bc5..169da288a 100644 --- a/4-Classification/1-Introduction/README.md +++ b/4-Classification/1-Introduction/README.md @@ -218,4 +218,4 @@ Explore SMOTE's API. What use cases is it best used for? What problems does it s ## Assignment -[Assignment Name](assignment.md) +[Explore classification methods](assignment.md) diff --git a/4-Classification/1-Introduction/assignment.md b/4-Classification/1-Introduction/assignment.md index d4badb79f..969008304 100644 --- a/4-Classification/1-Introduction/assignment.md +++ b/4-Classification/1-Introduction/assignment.md @@ -1,9 +1,11 @@ -# [Assignment Name] +# Explore classification methods ## Instructions +In [Scikit-Learn documentation](https://scikit-learn.org/stable/supervised_learning.html) you'll find a large list of ways to classify data. Do a little scavenger hunt in these docs: your goals is to look for classification methods and match a dataset in this curriculum, a question you can ask of it, and a technique of classification. Create a spreadsheet or table in a .doc file and explain how the dataset would work with the classification algorithm. + ## Rubric -| Criteria | Exemplary | Adequate | Needs Improvement | -| -------- | --------- | -------- | ----------------- | -| | | | | +| Criteria | Exemplary | Adequate | Needs Improvement | +| -------- | ----------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| | a document is presented overviewing 5 algorithms alongside a classification technique. The overview is well-explained and detailed. | a document is presented overviewing 3 algorithms alongside a classification technique. The overview is well-explained and detailed. | a document is presented overviewing fewer than three algorithms alongside a classification technique and the overview is neither well-explained nor detailed. |