This is a project of Python Advanced MultiVariate Stats Lab.
The project aims to use Python Modular Structure and apply understanding of Maximum Likelihood Estimation, Boostrap resampling method, Regression and Clustering on analysing the dataset.
The data contained in data.csv.zip represents various features from songs
extracted using Spotify API, unzip before using it. Source
- Implementing a linear regressor based on Maximum Likelihood Estimation
- Computing the L1 error of the linear estimator and plot the predicted value
- Computing the confidence interval using bootstrap resampling method
- clustering the data according to the 'key' columns and report