chore(ppai/timeseries-classification): add global fishing watch sample (GoogleCloudPlatform#6557)

Add Global Fishing Watch sample for the People & Planet AI Series.

Staged:

* [Notebook](https://colab.research.google.com/github/davidcavazos/python-docs-samples/blob/ppai-timeseries-classification/people-and-planet-ai/timeseries-classification/README.ipynb) -- this serves as the README
  > ⚠️ When cloning the repo, it doesn't exist yet in the main branch, so replace with:
  > ```
  > !git clone --branch ppai-timeseries-classification https://github.com/davidcavazos/python-docs-samples.git ~/python-docs-samples
  > ```
  > The links to source files in the notebook will also be broken since the files don't exist yet in the main branch.

Author: David Cavazos

.github/CODEOWNERS

@@ -58,6 +58,7 @@
 /monitoring/prometheus                 @yuriatgoogle @GoogleCloudPlatform/python-samples-owners
 /notebooks/**/*.py                     @alixhami @GoogleCloudPlatform/python-samples-owners
 /opencensus/**/*.py                    @GoogleCloudPlatform/python-samples-owners
+/people-and-planet-ai/**/*.py          @davidcavazos @GoogleCloudPlatform/python-samples-owners
 /profiler/**/*.py                      @kalyanac @GoogleCloudPlatform/python-samples-owners
 /pubsub/**/*.py                        @anguillanneuf @hongalex @GoogleCloudPlatform/python-samples-owners
 /run/**/*.py                           @GoogleCloudPlatform/cdpe-serverless @GoogleCloudPlatform/python-samples-owners

people-and-planet-ai/README.md

@@ -0,0 +1,28 @@
+# 🌍 People & Planet AI
+
+## 🦏 [Wildlife Insights -- _image-classification_](image-classification)
+
+This model is trained to recognize animal species from
+[camera trap](https://en.wikipedia.org/wiki/Camera_trap)
+pictures.
+
+* **Creating datasets**: [Apache Beam] in [Dataflow]
+* **Training the model**: [AutoML] in [Vertex AI]
+* **Getting predictions**: [Vertex AI]
+
+## 🗺 [Global Fishing Watch -- _timeseries-classification_](timeseries-classification)
+
+This model is trained to categorize if a ship is fishing or not every hour from their
+[_Maritime Mobile Service Identitiy_ (MMSI)](https://en.wikipedia.org/wiki/Maritime_Mobile_Service_Identity)
+location data.
+
+* **Creating datasets**: [Apache Beam] in [Dataflow]
+* **Training the model**: [Keras] in [Vertex AI]
+* **Getting predictions**: [Keras] in [Cloud Run]
+
+[Apache Beam]: https://beam.apache.org
+[AutoML]: https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide
+[Cloud Run]: https://cloud.google.com/run
+[Dataflow]: https://cloud.google.com/dataflow
+[Keras]: https://keras.io
+[Vertex AI]: https://cloud.google.com/vertex-ai

people-and-planet-ai/timeseries-classification/.gcloudignore

@@ -0,0 +1,6 @@
+# Ignore everything except the source files.
+**/*
+!Dockerfile
+!constraints.txt
+!requirements.txt
+!*.py

people-and-planet-ai/timeseries-classification/Dockerfile

@@ -0,0 +1,42 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Each version of TensorFlow requires a specific CUDA/cuDNN version:
+#   https://www.tensorflow.org/install/source#gpu
+# For a list of all the nvidia images:
+#   https://ngc.nvidia.com/catalog/containers/nvidia:cuda/tags
+FROM nvcr.io/nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu20.04
+
+WORKDIR /app
+
+# Copy the pipeline source files and the requirements file.
+COPY *.py ./
+COPY requirements.txt ./
+COPY constraints.txt ./
+
+# Install Python 3 and other required dependencies.
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends curl g++ python3.8-dev python3-distutils \
+    && rm -rf /var/lib/apt/lists/* \
+    && update-alternatives --install /usr/bin/python python /usr/bin/python3.8 10 \
+    && curl https://bootstrap.pypa.io/get-pip.py | python \
+    # Install the pipeline requirements and check that there are no conflicts.
+    # Since the image already has all the dependencies installed,
+    # there's no need to run with the --requirements_file option.
+    && pip install --no-cache-dir -r requirements.txt -c constraints.txt \
+    && pip check
+
+# Set the entrypoint to Apache Beam SDK worker launcher.
+COPY --from=apache/beam_python3.8_sdk:2.32.0 /opt/apache/beam /opt/apache/beam
+ENTRYPOINT [ "/opt/apache/beam/boot" ]