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