Antoni F. Setiawan antonifs

## New York Taxi 2.ipynb

      
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              April 15, 2018 14:39
            
          
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## New York Taxi 2.ipynb

      
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                antonifs
                / New York Taxi 2.ipynb
            
            
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              April 14, 2018 14:42
            
          
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## Item+Based+Collaborating+Filter.ipynb

      
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                / Item+Based+Collaborating+Filter.ipynb
            
            
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              September 26, 2017 16:45
            
          
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## gist:57a42a678756a0b43657856790b3323f

      
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                antonifs
                / gist:57a42a678756a0b43657856790b3323f
            
            
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              September 21, 2017 20:57
            
              
                Recommendation Engine for Product Cross Selling
              
          
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## gist:d2a1f5513cc4420353557130ad406a39

      
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                / gist:d2a1f5513cc4420353557130ad406a39
            
            
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              September 27, 2017 11:50
            
              
                Pasarpolis Vehicle APIs
              
          
APIs of Motor and Vehicle

URLS

production
https://apis.pasarpolis.com

  
## German Loan Application Data Analysis.ipynb

      
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                antonifs
                / German Loan Application Data Analysis.ipynb
            
            
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              April 10, 2017 04:03
            
          
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## Pred_cuisine_given_ingredients.ipynb

      
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                / Pred_cuisine_given_ingredients.ipynb
            
            
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              January 22, 2017 15:35
            
          
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## cuisine_prep_given_recipe
# ## Agenda
#
# 1. Reading in the Kaggle data and adding features
# 2. Using a **`Pipeline`** for proper cross-validation
# 3. Combining **`GridSearchCV`** with **`Pipeline`**
# 4. Efficiently searching for tuning parameters using **`RandomizedSearchCV`**
# 5. Adding features to a document-term matrix (using SciPy)
# 6. Adding features to a document-term matrix (using **`FeatureUnion`**)
# 7. Ensembling models
# 8. Locating groups of similar cuisines

## glitz-content.ipynb

      
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                antonifs
                / glitz-content.ipynb
            
            
              Created
              November 2, 2016 12:47
            
          
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## instagram_scraper.py
import csv, json, os, os.path, re, string, urllib2
from bs4 import BeautifulSoup

# config and params
protocol = 'https://www.'
domain = 'instagram.com/'
username = 'selenagomez'
site = protocol + domain + username

# tag identifier of which content will be graped
	# ## Agenda
	#
	# 1. Reading in the Kaggle data and adding features
	# 2. Using a `Pipeline` for proper cross-validation
	# 3. Combining `GridSearchCV` with `Pipeline`
	# 4. Efficiently searching for tuning parameters using `RandomizedSearchCV`
	# 5. Adding features to a document-term matrix (using SciPy)
	# 6. Adding features to a document-term matrix (using `FeatureUnion`)
	# 7. Ensembling models
	# 8. Locating groups of similar cuisines
	import csv, json, os, os.path, re, string, urllib2
	from bs4 import BeautifulSoup

	# config and params
	protocol = 'https://www.'
	domain = 'instagram.com/'
	username = 'selenagomez'
	site = protocol + domain + username

	# tag identifier of which content will be graped