Keshav Ramaswamy keshavramaswamy

## hashtag_graph.py
import networkx as nx
import datetime
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class HashtagGraph(object):
    """
    a class which updates the graph and calculates its average degree
    """

## twitter_hashtag_graph_analyzer.py
import json
from src.modules.tweet import Tweet
from src.modules.hashtag_graph import HashtagGraph
import argparse
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


def get_tweet(json_data):

## README.md

      
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                keshavramaswamy
                / README.md
            
            
              Created
              July 7, 2016 16:05
                — forked from GilLevi/README.md
            
              
                Age and Gender Classification using Convolutional Neural Networks
              
          
    Age and Gender Classification using Convolutional Neural Networks

###name: Age Classification CNN
caffemodel: age_net.caffemodel
caffemodel_url: https://dl.dropboxusercontent.com/u/38822310/age_net.caffemodel

  
## loan_uci.ipynb

      
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                keshavramaswamy
                / loan_uci.ipynb
            
            
              Created
              November 27, 2016 20:03
            
              
                loan_uci
              
          
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## sec_s1_scraper.py
from bs4 import BeautifulSoup
import requests
import pandas as pd


"""
This script prints the URL of the S1 Document given the company name and the path of the cik lookup, more to be added

make sure the dependencies are installed. Runs on python 2.7.
	import networkx as nx
	import datetime
	import logging
	logging.basicConfig(level=logging.INFO)
	logger = logging.getLogger(__name__)

	class HashtagGraph(object):
	"""
	a class which updates the graph and calculates its average degree
	"""
	import json
	from src.modules.tweet import Tweet
	from src.modules.hashtag_graph import HashtagGraph
	import argparse
	import logging
	logging.basicConfig(level=logging.INFO)
	logger = logging.getLogger(__name__)


	def get_tweet(json_data):
	from bs4 import BeautifulSoup
	import requests
	import pandas as pd


	"""
	This script prints the URL of the S1 Document given the company name and the path of the cik lookup, more to be added

	make sure the dependencies are installed. Runs on python 2.7.