#HYDE-002-theHybrid

Problem Statement :

Predicting Symptoms of users using Deep Learning

Pitch :

Given Data has minimum correlation and is very dynamic as it changes from person to person and also depends on various other
unrelated factors . So as the data is randomly distributed, with no specific trend so we are using Deep Neural Networks on
the data, and doing supervised learing by considering the factors period cycle and period length. Using this we are trying to 
predict her symptoms during their menstrual cycle.

Utility :

Basing on these Symptoms one would be able to know about one's pesonal health profile, hygiene. It also can be used to take
precautionary measures in extreme cases as we will be able to predict the symptoms early.

Instructions

1. Download or clone this repository. --git clone "repo url"
2. There are two options to run this notebook:
   1. Installing Tensorflow on your Local Machine and running the notebook locally.
   2. Using a Cloud Platform and running the jupyter notebook in the cloud.

Installing tensorflow locally

1. Install anaconda from their official website. Instructions given in their documentation
2. Enter into a Terminal. This process differs based on your OS.
3. Create a anaconda environment using
   - conda create -name myenv
4. Enter into the Environment using : conda activate myenv
5. Install tensorflow using anaconda using : conda installl tensorflow.
   -To use GPU use : conda install tensorflow-gpu
6. Change directory into the git Repo.
   -cd theHybrid--002
7. Open Jupyter Notebook.
   -jupyter notebook
8. Enter into the python notebook by selecting PSHybrid.pynb
9. Run Each Line by taping shift+enter while that line being selected.