================================================================== Describing user by his Instagram page using machine learning

Description of repo

• env_data.py (Set of functions for getting labels and features from MongoDB)
• plot_data.py (Few functions for plotting, using matplotlib)
• Haruspex_sex_prediction.ipynb (Jupyter notebook with predictions for user's sex, using 5 main algorithms)
• Haruspex_age_prediction.ipynb (The same, but for user's age)
• dump/users (1351 users, will be much more soon)

Installation

git clone https://github.com/pavlovdog/haruspex.git
cd haruspex
pip install -r requirements.txt
mongorestore --db users dump/users

Algorithmes:

• SVM
• Decision trees
• Naive Bayes
• Logistic regression
• K-nearest neighbours

Labels

• Age (+)
• Sex (+)
• Interests
• Attitude to alcohol
• Attitude to smoking
• Current relationships

Features

• Number of followers (+)
• Number of followings (+)
• Number of media (+)
• Average number of likes (+)
• Average number of comments (+)
• Average number of medias per week (+)
• Average number of mentions
• Average number of tags
• List of tags
• List of followings
• Average number of smileys in caption (+)
• Average caption's length (+)
• Correlation between videos & photos (+)
• Frequency of new medias (+)
• List of filteres

Helpful articles

http://kukuruku.co/hub/python/introduction-to-machine-learning-with-python-andscikit-learn

http://bigdataexaminer.com/uncategorized/how-to-run-linear-regression-in-python-scikit-learn/

http://blog.gramant.ru/2012/06/06/f1-measure/

https://www.creighton.edu/fileadmin/user/HSL/docs/ref/Searching_-_Recall_Precision.pdf