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# Starter Pack
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Best free book online on data-science:
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https://jakevdp.github.io/PythonDataScienceHandbook/
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All the code online:
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https://notebooks.azure.com/jakevdp/projects/PythonDataScienceHandbook
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Essential Math for Machine Learning: Python Edition
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https://courses.edx.org/courses/course-v1:Microsoft+DAT256x+1T2019a/
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# RPi Tensoflow Test
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```
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import tensorflow as tf
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hello = tf.constant('Hello, TensorFlow!')
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sess = tf.Session()
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print(sess.run(hello))
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```
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**Output:**
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![2019-06-05-144506_800x600_scrot](/uploads/9b25177e1fe80c88b56b9f36c3f8088e/2019-06-05-144506_800x600_scrot.png)
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# Algo choice
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I'll be using classification algo in Tensorflow.
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Ref Udacity Tensorflow course.
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# Course Reference
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https://classroom.udacity.com/courses/ud187
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Course Notes:
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- https://colab.research.google.com/github/tensorflow/examples/blob/master/courses/udacity_intro_to_tensorflow_for_deep_learning/l02c01_celsius_to_fahrenheit.ipynb
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- Dense layer
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- https://dummyimage.com/ Use it for creating image for training if required
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