Neele Pantfoerder's repositories
credit-risk-analysis
Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk
amazon-vine-analysis
Using PySpark to determine if there is bias towards favorable reviews
bikesharing
Using Tableau to create worksheets and dashboards visualizing key bike trip data for a business proposal
cryptocurrencies
Creating an k-means model to cluster cryptocurrencies
election-analysis
Generating an election audit report using Python to read and analyze ballot data
kickstarter-analysis
Performing analysis on Kickstarter data with Excel to uncover useful trends
mapping-earthquakes
Using JavaScript with the Leaflet library to get recent earthquake GeoJSON data and an API request to plot the data on a Mapbox map
mechaCar-statistical-analysis
Using R to design a linear model that predicts mpg and perform t-tests on suspension coils
mission-to-mars
Using Flask to build a web application that scrapes new data and MongoDB to store the data
movies-ETL
Creating an automated ETL pipeline for movie data
neural-network-charity-analysis
Designing a deep learning neural network with TensorFlow to predict the success of donations
pewlett-hackard-analysis
Building an employee database with PostgreSQL and performing retiree research
plotly_deploy
Deploying a dashboard of bacteria data by using HTML to build a webpage, JavaScript to read the data, and Plotly to create visualizations
PyBer-analysis
Creating visualizations of ride-share data from different cities with Matplotlib
school-district-analysis
Using Pandas to perform statistical analysis on student test scores and reporting how changes in the data affect the results
stock-analysis
Employing VBA to analyze the performance of green energy stocks
surfs-up
Determining the sustainability of a business by querying a database and analyzing results
UCB-final-project
Building a random forest model that predicts musical genres based on lyrics and audio features
world-weather-analysis
Using APIs to retrieve weather data from cities worldwide and provide real-time travel recommendations