Michelle Werner's repositories
DA-team-proj
Survey of a 20,000 boardgame dataset. Used supervised machine learning to cluster data into meaningful groups for visualization and potential game-recommendation prediction.
kickstarter-analysis
Performing trends analysis on Kickstarter campaign data with Excel.
pyber-analysis
Python & Matplotlib used to chart and analyze data from an imaginary ride-share company.
world-weather-analysis
OpenWeatherMap & Google APIs used to map hotels based on weather preferences, written in Python using Pandas & JSON data.
bikesharing
Tableau visualization analysis of NYC's CitiBike bikesharing data from 2019 for projected success of a similar business elsewhere.
biodiversity-dashboard
Interactive dashboard with 3 plotly charts and an info div of JSON data which updates with user input.
credit-risk-analysis
Experiemented with different machine learning methods to review loan data and analyze credit-lending risk and accuracy of prediction methods.
cryptocurrencies
Used machine learning techiques to cluster and visualize cryptocurrency data.
election-analysis
Analyzing precinct election results with Python +Visual Studio.
gemz
the sparklies
mapping-earthquakes
Earthquake mapping of publicly available earthquake data with earthquake magnitudes and locations visualized from GeoJSON data with javascript.
mission-to-mars
Flask generated web page displaying a collection of mars info scraped from 4 other sites via Splinter and Beautiful Soup and stored in a MongoDB... written in Python, HTML and CSS with Jupyter Notebook and VSCode.
movies-ETL
ETL exercise on combining and cleaning movie data from Wikipedia and Kaggle into PostgreSQL using Python and SQL.
neural-network-charity-analysis
Experiment using a deep-learning neural network to analyze charity data. Written in a python's jupyter notebook.
pewlett-hackard-analysis
PostgreSQL +pgAdmin and SQL used to create a dozen-tabled db of employee data with retirement turnover analysis.
school-district-analysis
School district performance analysis using Python, Pandas, +Jupyter Notebook.
stock-analysis
Measuring stock performance with Excel & VBA.
surfs-up
Statistical weather dataframe analysis with SQLite, SQLAlchemy, Flask, Python, ORM - FullStack!