9.6 AMLS Designer: Introduction to Machine Learning Background: You are a data

9.6 AMLS Designer: Introduction to Machine Learning

Background:

You are a data scientist with Amazon focusing on their AWS product. The AWS marketing team wants to shape and push the social media discussions about their product and needs to understand what it will take to get their posts reposted as much as possible.

Task:

Your task is to create a basic machine learning modeling experiment in Azure ML Studio to predict the retweet count of tweets.

Data Source:

Use the data file provided AWS_Tweets_India-US-UK.csv containing tweets that include the term “AWS” that originated from India, US, and UK. 

Features include:

Gender: of the person who posted

Country, State, City: of the location where the post originated from

Weekday, Hour of the day, and Day of the Month of the date it was posted

Klout: a score representing how “popular” or “important” the person is who posted

Sentiment: a score representing the tone of the post text

Reach: how many people had viewed the post at the time the data was collected

IsReshare: whether or not the post was a reshare of another post

RetweetCount: the number of times other users had reposted the given post

Likes: the number of “Likes” other users had given the post

text: the actual post text (may not be included in this version of the dataset)

lang: the language of the post

Other instructions:

Complete the tasks you find in the questions below in the order they appear. Correct answers depend on you following the instructions exactly.

There are two attempts on this assessment and the highest score will keep.

Points: 35

Resource Files:1 file

AWS_Tweets_India-US-UK.csv

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