Skip to content

This repository includes all notebooks and final project created in the Ben-gurion university of the negev MSC course "The Art of Analyzing Big Data - The Data Scientist’s Toolbox"

Notifications You must be signed in to change notification settings

DL1992/The-Art-of-Analyzing-Big-Data--The-Data-Scientist-s-Toolbox

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

The-Art-of-Analyzing-Big-Data--The-Data-Scientist-s-Toolbox

This repository includes all notebooks and final project created in the Ben-Gurion University of the Negev MSC course "The Art of Analyzing Big Data - The Data Scientist’s Toolbox"

Each notebook tackles different machine learning and big data issues.

Assignment 1 - Big Data, Db and SQL

Assignment 2 - Scraping with beautiful soup, working with API's and pandas.

Assignment 3 - Data visualization using turicreate, pandas and seaborn.

Assignment 4 - Working with graphs.

Assignment 5 - Link predictions and graph analysis.

Assignment 6 - NLP and Sentiment analysis.

Assignment 7 - NLP, entity extraction and visualization.

Assignment 8 - Geopandas, plotly express and foluim.

Assignment 9 - working with pySpark, classifiers map visualization and more.

For the Final project, we analyzed the beer Sheva city shelters and fire hydrants locations to discover useful and insightful information using all the knowledge we gain in the course. The work on the project was done with Eyal Arviv and all the code is present in the repository.

About

This repository includes all notebooks and final project created in the Ben-gurion university of the negev MSC course "The Art of Analyzing Big Data - The Data Scientist’s Toolbox"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published