enj657 Goto Github PK
Name: Elle Jacobs
Type: User
Location: St. Louis, MO
Name: Elle Jacobs
Type: User
Location: St. Louis, MO
Analyzed Amazon Vine reviews using PySpark.
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
Analyzed route and demographic data from New York Cityβs Citi Bike program to gain insights on usage trends. Built interactive visualizations in Tableau to further explore the data
Built and evaluated several machine learning algorithms to predict credit risk.
Used unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a cryptocurrency database.
Analyzed election data using Python.
Used machine learning to analyze Spotify data, and what makes a track popular.
TOP-js exercises
Performed analysis on Kickstarter data to uncover trends
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.
Analyzed a series of datasets from the automotive industry using R programming language, statistics and hypothesis testing.
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.
Performed the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
Used TensorFlow and deep learning neural networks to analyze and classify the success of charitable donations.
Analyzed employee database with PostgreSQL to plan for retirement wave.
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.
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.
Analyzed stock data using Excel VBA
Analyzed a SQLite weather database with Python, Pandas and SQLAlchemy and displayed the results with Flask.
Built an interactive webpage to analyze UFO sightings using HTML, CSS, JavaScript and Bootstrap.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.