GitHub - samirkapure/Instagram-Follower-Analysis: Collect data from social media about user attributes like existing followers of the user, user bio, user posts, how long the user is active, location, interests etc to predict if the user will follow you back when you are following the user from a neutral account (neutral account is where you don't reveal personal information about yourself like age, gender etc. You only have a bio, dp and some posts).There are plenty of variables you can derive based on above. Your task will be to develop an algorithm that can classify users into likelihood of following you back in 5 days if you follow them. Your model should be able to assign a 0 or 1 value to any user.

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Name		Name	Last commit message	Last commit date
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instagram scrap part 2.py		instagram scrap part 2.py
python insta_info_scraper.py		python insta_info_scraper.py

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Collect data from social media about user attributes like existing followers of the user, user bio, user posts, how long the user is active, location, interests etc to predict if the user will follow you back when you are following the user from a neutral account (neutral account is where you don't reveal personal information about yourself like…