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SAP Machine Learning Challenge
Please read the following instructions carefully

Which Novel Do I Belong To?
In this challenge, you are tasked with training a machine learning model that classifies a given
line of text as belonging to one of the following 12 novels:
0. alice_in_wonderland
1. dracula
2. dubliners
3. great_expectations
4. hard_times
5. huckleberry_finn
6. les_miserable
7. moby_dick
8. oliver_twist
9. peter_pan
10. tale_of_two_cities
11. tom_sawyer
You are provided with a zip file (offline_challenge.zip) containing three text files:
xtrain.txt
ytrain.txt
xtest.txt.
As you can see in the train files, we have applied an encoding to the text, but it is done such
that each character has a deterministic mapping. Each line in xtrain.txt corresponds to a label in
ytrain.txt.
Example:
line:
satwamuluhqgulamlrmvezuhqvkrpmletwulcitwskuhlemvtwamuluhiwiwenuhlrvimvqvkruh
ulenamuluhqgqvtwvimviwuhtwamuluhulqvkrenamcitwuhvipmpmqvuhskiwkrpmdfuhlrvimv
skvikrpmqvuhskmvgzenleuhqvmvamuluhulenamuluhqvletwtwvipmpmgzleenamuhtwamuluh
twletwdfuhiwkrxeleentwxeuhpmqvuhtwiwmvamdfuhpkeztwamuluhvimvuhqvtwmkpmpmlelr
uhgztwtwskuhtwlrkrpmlruhpmuluhqvenuhtwyplepmxeuhenuhamypkrqvuhamulmvdfuhqvsk
entwamletwlrlrpmiwuhtwamul
label: 7

Your Task

You are tasked with developing a deep learning model that predicts the novel id of a given line
of text. We prefer Python as the programming language and TensorFlow/Keras as the deep
learning framework.

Submission
As part of your submission, please include:
Your model's predictions on xtest.txt (in the same format as ytrain.txt).
This file must be named as ytest.txt
Source code as a .zip file (we prefer Jupyter notebooks, size limit is 10 MB)

Evaluation
Your submission will be evaluated based on the following criteria:
Test set accuracy (80%)
Explanation/documentation (10%)
Implementation (10%)

Contents of Source Code
In your source code, please include the following:
Implementation of the model
Clear documentation of relevant parts of the code
Training & validation accuracies
Explanation of strategy, methodology, and algorithms employed
The last point is especially important, as we want to assess your reasoning and approach to this
problem.
Good luck!
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Title                           : instructions
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Create Date                     : 2018:02:19 01:29:14Z
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