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## FeatureEngineeringBestPractices.md

      
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                / FeatureEngineeringBestPractices.md
            
            
              Created
              October 24, 2016 11:10
            
              
                This Gist is intended to be a complete guide and reference to feature engineering best practices.
              
          
    Feature Engineering Best Practices

Background

This is a work in progress. There are a lot to be done so your assistance and involvement is more than encouraged.
Intro

There are a lot of best practices to feature engineer that we almost aways forget some of them when working on a dataset. This guide is intended to be a quick reference that will list all the best practices when dealing with different types of features either continuous or categoricals.
Guide


## read_kinesis_streams.py
import boto3

# add your stream name
STREAM_NAME = '<stream_name>'
UPDATE_ITER_FREQ = 100
LIMIT = 2

client = boto3.client('kinesis')
	import boto3

	# add your stream name
	STREAM_NAME = '<stream_name>'
	UPDATE_ITER_FREQ = 100
	LIMIT = 2

	client = boto3.client('kinesis')