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https://github.com/kaustubhgupta/technocolab-final-project

Final project made during my internship in Technocolabs.
https://github.com/kaustubhgupta/technocolab-final-project

css flask html numpy pandas project python seaborn sklearn

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Final project made during my internship in Technocolabs.

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# Technocolab-Final-Project 😀

![Technocolab-Final-Project](https://socialify.git.ci/kaustubhgupta/Technocolab-Final-Project/image?description=1&language=1&owner=1&pattern=Circuit%20Board&theme=Light)

## About 😁

This is the final project made during my internship in Technocolabs. In this project, we were given two files, a CSV file containing data about music track title, composer, label, and many other features including track genre. The JSON file consists of technical details about a soundtrack including valence and danceability.

We were given the task to build a classifier for this dataset which was highly unbalanced and then deploying that model to any of the cloud services.

## Link to deployed website ⚡

Sure, here you go: [Music Genre Predict](http://music-genre-predict.herokuapp.com/)

## Preview 📺

![](https://github.com/kaustubhgupta/Technocolab-Final-Project/blob/master/preview.PNG)

## Tech Stack 🏟
- Python (Langauge)
- Libraries:
- Numpy (Data Manipulation)
- Pandas (Data Manipulation)
- Seaborn (Data Visualization)
- Sklearn (Model Building)
- Flask (Model Deployment)
- HTML (Web interface)
- CSS (Web enhancement)
- Heroku (Website Deployment)