Project Portfolio

View website here: https://robert-zacchigna.github.io/

Jupyter Notebook nbextensions

While not necessary to run the notebooks, I thought I would add the list of notebook extensions I have enabled as I find them quite useful, and you might find them useful as well.

Code Prettify	jupyter-js-widgets/extension	AddBefore
Help Panel	Nbextensions dashboard tab	contrib_nbextensions_help_item
Notify	plotlywidget/extension	Nbextensions edit menu item
Tree Filter	Table of Contents (2)	spellchecker
ExecuteTime	Variable Inspector	Toggle All Line Numbers
Export Embedded HTML	Slideshow

Project List

NOTES

• GitHub might not render Jupyter Notebooks correctly (or at all), thus internal linking and graphs might not work as desired
  • You can click the nbviewer link listed in the README files to view the properly rendered Jupyter Notebook, however, you will not be able to run cells in the notebook
  • If you want to be able to interact with and run cells in the notebooks stored in this repo without setting up your own Jupyter environment, you can instead click the "Launch Binder" button in the README header to launch a JupyterHub of this repo fully in your browser.
    • About mybinder.org
    • What is BinderHub?
    • What is JupyterHub?

1. Air Pollution Data Scraping and Analysis of Seoul (Districts), South Korea

   • This is a 4 part Jupyter notebook that scrapes Seoul, South Korean Air Pollution data and then parses/reformat it into a more usable format. The different data sources are then all condensed into one large dataset using sqlite3 to create a tiny database to query the data from and create visualizations.
   • README
   • Download (25 MB)

2. Analysis of World Happiness Reports (2015-2019)

   • This project is an analysis of World Happiness Reports from 2015-2019 and what trends there might be from countries all over the world.
   • README
   • Download (11 MB)

3. Create Optimal Hotel Recommendations

   • This project analyzes Expedia customer information with the objective of creating a model to optimize user’s hotel recommendations.
   • README
   • Download (7.57 MB)

4. Malaria Cell Image Classification

   • This project deals with identifying and classifying images of malaria cells as either uninfected or infected/parasitized.
   • README
   • Download (10.9 MB)

5. Neural Network Classifiers

   • This python notebook outlines different ways of setting up and training Neural Network Classifiers with Scikit and Keras. The networks are trained using a collection of categorized online comment and image datasets.
   • README
   • Download (36.9)

6. Predict Graduation Rates (2019 U.S. College Data)

   • This project explores how various university factors (Economic, Academic, Enrollment, Faculty, etc...) can predict a university's student graduation rate.
   • README
   • Download (1.5 MB)

7. Predict Prospective Student Graduate Admission into University

   • This projects attempts to predict the chance of a prospective student being admitted into a university's graduate program, along with exploring multiple different prediction model types to find the best one possible.
   • README
   • Download (8.78 MB)

8. Predicting Credit Card Customer Attrition

   • This project explores a customer churn dataset that aimed to create a model that could be used to predict when customers might drop the banks credit card and if it’s possible to prevent it.
   • README
   • Download (4.76 MB)

9. Predicting Video Game Sales

   • This project will examine Video Game Sales by region, with information about the type of video game being sold and how well it performed in the region, in order to create a model that can be used to predict the expected sales performance of a video game.
   • README
   • Download (5.26 MB)

10. Public and Private Graduation Rates Analysis (2019 U.S. College Data)

    • This project explores the relationship between public and private universities' graduation rates to see if a university being Private or Public has an effect on its graduation rate and what factors specifically affect those rates.
    • README
    • Download (957 KB)