minor changes

Author: SubhadityaMukherjee

examples/Advanced/datasets_tutorial.py

@@ -1,6 +1,7 @@
 # %% [markdown]
 # How to list and download datasets.
 
+# %%
 import pandas as pd
 
 import openml
@@ -10,6 +11,8 @@
 # ## Exercise 0
 #
 # * List datasets and return a dataframe
+
+# %%
 datalist = openml.datasets.list_datasets()
 datalist = datalist[["did", "name", "NumberOfInstances", "NumberOfFeatures", "NumberOfClasses"]]
 

examples/Basics/introduction_tutorial.py

@@ -10,7 +10,7 @@
 # ## Authentication
 #
 # For certain functionality, such as uploading tasks or datasets, users have to
-# sing up. Only accessing the data on OpenML does not require an account!
+# sign up. Only accessing the data on OpenML does not require an account!
 #
 # If you don’t have an account yet, sign up now.
 # You will receive an API key, which will authenticate you to the server

mkdocs.yml

@@ -52,9 +52,9 @@ nav:
         - Suites: examples/Basics/simple_suites_tutorial.py
     - Advanced:
       - Dataset Splits from Tasks: examples/Advanced/task_manual_iteration_tutorial.py
-      - Created and Uploaded Datasets: examples/Advanced/create_upload_tutorial.py
+      - Creating and Uploading Datasets: examples/Advanced/create_upload_tutorial.py
       - Searching and Editing Datasets: examples/Advanced/datasets_tutorial.py
-      - Searching and Creating Tasks: examples/Advanced/task_tutorial.py
+      - Searching and Creating Tasks: examples/Advanced/tasks_tutorial.py
       - List, Download, and Upload Suites: examples/Advanced/suites_tutorial.py
       - List, Download, and Upload Studies: examples/Advanced/study_tutorial.py
       - Downloading Evaluation Results: examples/Advanced/fetch_evaluations_tutorial.py