Hello Readers,

This is my first post on Medium and I am very excited to share it with y’all.

I will be explaining in the most simple way how you can use unsupervised machine learning tools like Community Detection and Network Analysis algorithms such as Louvain and Girvan-Newman to determine…

You can find the whole project and dataset here: https://www.kaggle.com/akiboy96/spotify-song-popularity-genre-prediction

correlation plot with distributions

The dataset we will explore, analyze and model on will be the Spotify dataset that contains song information over the decades. The dataset essentially has information about the song such as, track name, artist name, danceability, key of the song…

We finally get to the Portfolio Building where we can try to beat the SPY average returns Year over Yer (YoY). The whole code base can be found here:

To build the portfolio based on the correlation of stock prices in the S&P 500, we will use network centrality as…

This is a continuation of the previous blog which showcased data scraping and cleaning. We will now move to modelling our network and form communities using clustering algorithms that will eventually be used to create our portfolio that could beat the SPY average YoY return of 8.93%.

Part 2: Modelling

This end to…

Aakash Kedia

CS, music and football in no particular order

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