Student-recommendation-system

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  this is the process and methodology . for more details check the git hub repo link

Inspiration

Getting to know more about analyses

What it does

it explains the analysis of student performance and how they can improve

How we built it

used gradient boosting algorithm for predicting which student to recommend

Challenges we ran into

cleaning data the preprocessing it.

Accomplishments that we're proud of

What we learned

What's next for Sentiment analyses overview

Built With

• numpy
• pandas
• python
• sckitlearn