The proposal is to implement from scartch a total of 6 different Binary Classification techniques, specifically - Logistic Classifier, Decision Tree, RandomForest, K-Means Clustering, Support Vector Machine, xGBoost.
After preprocessing the data, we plan on passing it through all the ML models in order to train it.
Next, we supply a testinput song and our models determine (with a Boolen output) whether or not the user would like this song or not.
https://www.kaggle.com/datasets/geomack/spotifyclassification
https://www.kaggle.com/datasets/bricevergnou/spotify-recommendation
