Riley Browne

This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.

Performing analysis on stocks using Excel and VBA Marcos.

This project assesses the acquisition of Genetech by Roche in 2009. This was a project completed through my Mergers & Acquisitions course as Santa Clara University using Harvard Business Review Materials.

This analysis extracts movie data from Wikipedia and Kaggle, transforms and cleans the data using python, and finally loads it into a readable file to be used in PostgreSQL.

This project analyzes data related to belly button biodiversity. By using HTML and Javascript's Plotly and D3 libraries, I have created a dashboard to present the top 10 bateria cultures found in a participant's belly button, all of the bateria cultures found in their belly button, and their weekly washing freqency

The purpose of the project is to analyze Amazon reviews written by members of the paid Amazon Vine program using AWS, PySpark, and SQL.

The purpose of this analysis was to create a supervised machine learning model that could accurately predict credit risk using python's sklearn library.

The purpose of this project is the create a report for an investment bank interested in offering a new cryptocurrency investment portfolio using python's sklearn and unsupervised machine learning.

The purpose of this analysis is to use a neural network to decide which companies should receive loans from Alphabet Soup using Python's Tensor Flow library.

This project uses data provided by usgs.gov to show a visual repersentation of all of the earthquakes on the planet over the last 7 days using Javascript's leaflet and D3 libraries and Mapbox's API.

The purpose of this analysis is to offer insights on the MechaCar's production to help the manufacturing team using R.

The purpose of the project was to use data from New York City's Citi Bike program and see if it would be possible to recreate the program in De Moines, Iowa using Python and Tableau.

The purpose of this project is to compile data from different UFO encounters around the US and present them on one easy to use webpage. This webpage is created through JavaScript, html, and css.

This project scrapes data from various websites to create a new webpage that highlights facts about the planet Mars. In order to complete this task, I used splinter and beautiful soup libraries to scrape the relevant data. From there, I transformed the data to a Mongo Database before uploading the data to my webpage using flask. Lastly, I used bootstrap to cleanup my webpage to make it presentable.

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By using SQLite and Flask, this project creates an app that can be used to analyze weather patterns to know if it is smart to open a new business based on its location.

This analysis looks at how a large company can prepare for a large wave of retiring employees using PostgreSQL.

This project analysis large ride sharing data sets using pandas and visualizes them using matplotlib.

This project uses python's Pandas library to analyze a school district's student data.

Performing analysis on kickstarter data to uncover trends using Excel.

Performing analysis on election results using Python.

Orion Constellation Project Codecademy

This is my Final Project from my Code in Place course through Stanford University.