carloalbe/Pyspark-Spotify-Analysis carloalbe/Pyspark-Spotify-Analysis

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created almost 3 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
carloalbe/Pyspark-Spotify-Analysis
github

carloalbe

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

The project is developed using pyspark on a large spotify dataset found on Kaggle. The analysis applied concern Clustering the musical genres, Regression\Classification on the popularity and a Trend Analysis.

More Repositories

1

A-nurse-scheduling-problem-solved-with-Gurobi

An LP problem with hiearchical objectives, modeled as a vehicle routing problem , implemented with gurobipy python API in a jupyter notebook, and solved by using the Gurobi solver
Jupyter Notebook
15
star
2

fill-large-gaps-in-timeseries-using-forecasting

This notebook has the pourpose to show an easy approach to fill large gaps in time series, mantainign a certain veridicity and data validity. The approach consist in apply a forecasting in both sides of the gap, and combine the two prediction using interpolation.
Jupyter Notebook
9
star
3

TripAdvisor-Tuscany-Restaurant-Social-Network-Analysis

Project for Social Network Analysis
Jupyter Notebook
3
star
4

SCI-project

Project of strategic and competitive intelligence
Jupyter Notebook
1
star
5

Data-Mining

Collection of python notebook a group project in data mining, exploring advanced tencique classifciation, neural network, clustering, regressors, forecasting, and more...
Jupyter Notebook
1
star
6

Laboratory-of-Data-Science

Bulding and population of a data warehouse using python code and Sql-Server Management Studio. SSIS data flows for querying by Visual Studio. Building an OLAP cube with SSAS, querying it by MDX. Visual interactive representation of data by creation of a Microstrategy Dossier.
Python
1
star