Improve the Accuracy of The Gender Taggger

[djokester]

The (word, gender) tuple is currently available here
In accordance with Issue #9 we will move this file to Sangita Data
We will also create a new repository for Hindi Word Vectors and one for machine learning models. These will be referenced in a separate issue.
Along with this we will remove the dependencies for Scikit Learn and work only with Keras.
The task list is given below

• Move the gender.py to Sangita Data - Cakewalk.

• Create a fresh set of word vectors and store it under a new repository especially for word vectors. - Pro.

• Train the word vectors against the gender tags, and store the model under a separate repository. - Intermediate.

• Refactor the code here, to accommodate these changes. - Intermediate.

[djokester]

For the word vectors we will use sentences from HDTB initially.
Once @MansiBreja is done with HindiMonoCorp Extraction we can use the sentences from HindiMonoCorp too and train the word vectors again.
Also we might need to scrape more sentences for this.