classification 1 assignment

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)

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. |