Inspiration
ICDSS provided three datasets and I have decided to use the music genre dataset to test different machine learning models and see their performance.
What it does
This notebook uses different machine learning models and compares their performance by calculating the accuracy.
How we built it
The project was built using google colab, and various libraries for data science
Challenges we ran into
When testing the KNN model I was not able to achieve the desired accuracy,
Accomplishments that we're proud of
implement XGBoost
What we learned
I have learnt the various steps required to clean up data.
What's next for Music Genre Predictor
I will review once more the steps taken and improve the process and try to implement Support Vector Machine model.
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