To ease the stress from scratch in getting r.mesults from a dataset.

What it does

It carries out analysis on the data input and give future prediction.

How I built it

I imported some python packages and specified how different datasets showed be arranged either containing dates and time or not. Then split the data's and run predictions on them from different machine learning models, so the best model is choosen for prediction.

Challenges I ran into

How to clean any form of CSV datasets that will be imported for prediction.

Accomplishments that I'm proud of

Finally figured out to a larger extent on how clean datasets.

What I learned

How to reduce time working on a machine learning project.

What's next for Solve

Looking to making other forms of data possible like audios, images, videos and other data format.

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