Jupyter Notebook containing some EDA on traffic over a bridge.
In this notebook I had dataset of 4 years of everyday of every hour counting how many people used the bridge. The data was time series based data most of the preprocessing I did in this notebook is based on time series data.
Data itself doesn't look good we have to do some processing to give us some insights using various visualizations.
I have some interesting visualizations for supporting my hypothesis.
And I have used some algorithms :
1. Gaussian Mixture(For Clustering)
2. Principal Component Analysis(For Dimensionality Reduction)