MNT create issue templates with automatic tagging (#16053)

.github/ISSUE_TEMPLATE/blank_template.md

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+---
+name: Other
+about: For all other issues to reach the community...
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+

.github/ISSUE_TEMPLATE/bug_report.md

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+---
+name: Bug report
+about: Create a report to help us reproduce and correct the bug
+title: ''
+labels: Bug
+assignees: ''
+
+---
+
+Before submitting a bug, please make sure the issue hasn't been already
+addressed by searching through the past issues.
+
+#### Describe the bug
+<!--
+A clear and concise description of what the bug is.
+-->
+
+#### Steps/Code to Reproduce
+<!--
+Please add a minimal example that we can reproduce the error by running the
+code. Be as succinct as possible, do not depend on external data. In short, we
+are going to copy-paste your code and we expect to get the same
+result as you.
+
+Example:
+```python
+from sklearn.feature_extraction.text import CountVectorizer
+from sklearn.decomposition import LatentDirichletAllocation
+docs = ["Help I have a bug" for i in range(1000)]
+vectorizer = CountVectorizer(input=docs, analyzer='word')
+lda_features = vectorizer.fit_transform(docs)
+lda_model = LatentDirichletAllocation(
+    n_topics=10,
+    learning_method='online',
+    evaluate_every=10,
+    n_jobs=4,
+)
+model = lda_model.fit(lda_features)
+```
+If the code is too long, feel free to put it in a public gist and link
+it in the issue: https://gist.github.com
+-->
+
+```
+Sample code to reproduce the problem
+```
+
+#### Expected Results
+<!-- Example: No error is thrown. Please paste or describe the expected results.-->
+
+#### Actual Results
+<!-- Please paste or specifically describe the actual output or traceback. -->
+
+#### Versions
+<!--
+Please run the following snippet and paste the output below.
+For scikit-learn >= 0.20:
+import sklearn; sklearn.show_versions()
+For scikit-learn < 0.20:
+import platform; print(platform.platform())
+import sys; print("Python", sys.version)
+import numpy; print("NumPy", numpy.__version__)
+import scipy; print("SciPy", scipy.__version__)
+import sklearn; print("Scikit-Learn", sklearn.__version__)
+import imblearn; print("Imbalanced-Learn", imblearn.__version__)
+-->
+
+
+<!-- Thanks for contributing! -->

.github/ISSUE_TEMPLATE/doc_improvement.md

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+---
+name: Documentation improvement
+about: Create a report to help us improve the documentation. Alternatively you can just open a pull request with the suggested change.
+title: ''
+labels: Documentation, help wanted
+assignees: ''
+
+---
+
+#### Describe the issue linked to the documentation
+
+<!--
+Tell us about the confusion introduced in the documentation.
+-->
+
+#### Suggest a potential alternative/fix
+
+<!--
+Tell us how we could improve the documentation in this regard.
+-->

.github/ISSUE_TEMPLATE/feature_request.md

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+---
+name: Feature request
+about: Suggest a new algorithm, enhancement to an existing algorithm, etc.
+title: ''
+labels: New Feature
+assignees: ''
+
+---
+
+<!--
+If you want to propose a new algorithm, please refer first to the scikit-learn
+inclusion criterion:
+https://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms
+-->
+
+#### Describe the workflow you want to enable
+
+#### Describe your proposed solution
+
+#### Describe alternatives you've considered, if relevant
+
+#### Additional context

.github/ISSUE_TEMPLATE/usage_question.md

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+---
+name: Usage question
+about: If you have a usage question
+title: ''
+labels: Question
+assignees: ''
+
+---
+
+<!--
+**If your issue is a usage question, please submit it in one of these other channels instead:**
+- **StackOverflow with the scikit-learn tag: https://stackoverflow.com/questions/tagged/scikit-learn**
+- **Mailing List: https://mail.python.org/mailman/listinfo/scikit-learn**
+- **Gitter: https://gitter.im/scikit-learn/scikit-learn**
+- **For more information, see User Questions: http://scikit-learn.org/stable/support.html#user-question**
+
+The issue tracker is used only to report issues and feature requests. For
+questions, please use either of the above platforms. Most question issues are
+closed without an answer on this issue tracker. Thanks for your understanding.
+-->