The original intent of making this app was to use Machine Learning (MBinarizer) to understand the questions in order to predict the upvotes a new post will get on the Ask_reddit subreddit.
Objectives :
1. To understand the metrics of reddit rating system and emulate it.
2. Accurately predict the amount of upvotes a new post is going to get based on the above understood metrics.
Tools:
1. Python
2. Machine Learning
3. Multilabel Binarizer
4. Pandas
5. Numpy
6. Data Visualization
7. Data Extraction and parsing.
Shortcomings:
1. The problem initially was looking solvable with smaller hiccups through the first week.
2. Unfortunately after a lot of speculation i found the naviety on my part was to underestimate the Randomness of
the post on r/ask_reddit.
4. Hence it was impossible to make a accurate model of the questions and emulate the rating system.