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amazon_vine_analysis

Analyzed Amazon Vine reviews using PySpark.

beef

Created a web application to display belly button data for each person in this analysis. Used javascript, d3, and plotly to create charts based on a selected id from samples.json data

bikesharing

Analyzed route and demographic data from New York City’s Citi Bike program to gain insights on usage trends. Built interactive visualizations in Tableau to further explore the data

bootcamp_demo

credit_risk_analysis

Built and evaluated several machine learning algorithms to predict credit risk.

cryptocurrencies

Used unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a cryptocurrency database.

css-exercises

election_analysis

Analyzed election data using Python.

enj657.github.io

final_project_ej

Used machine learning to analyze Spotify data, and what makes a track popular.

javascript-exercises

TOP-js exercises

kickstarter-analysis

Performed analysis on Kickstarter data to uncover trends

mapping_earthquakes

Determined where earthquakes are most likely to occur globally to better understand the relationship between fault lines and earthquake magnitude. Built global earthquake heat map web app using data pulled from the USGS API and fed to the OpenStreetMap API.

mechacar_statistical_analysis

Analyzed a series of datasets from the automotive industry using R programming language, statistics and hypothesis testing.

meme-generator

mission-to-mars

Used BeautifulSoup and Splinter to scrape full-resolution images of Mars' hemispheres and the titles of those images. Stored the scraped data on a Mongo database, and used a web application to display the data. Altered the design of the web app to accommodate the images.

movies-etl

Performed the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.

neural_network_charity_analysis

Used TensorFlow and deep learning neural networks to analyze and classify the success of charitable donations.

notes-app-project

pewlett-hackard-analysis

Analyzed employee database with PostgreSQL to plan for retirement wave.

portfolio

portfolio-typescript

pyber_analysis

Used pandas and python to create a summary dataframe of ride sharing data by city type. Created a line graph to show total fare by city type using MatPlotLib.

react_project

school_district_analysis

Used jupyter notebook to create dataframes and clean the data (get rid of NaNs). Calculated Math and Reading scores students from 15 different schools. Found what school districts performed the best.

stock-analysis

Analyzed stock data using Excel VBA

surfs_up

Analyzed a SQLite weather database with Python, Pandas and SQLAlchemy and displayed the results with Flask.

top_stl_website

travel-itinerary-react

ufos

Built an interactive webpage to analyze UFO sightings using HTML, CSS, JavaScript and Bootstrap.