ajp71088

Amazon_Vine_Analysis

bikesharing

Using Python and Tableau to analyze data from New York City's Citi Bike program to explore the creation of a similar program in Des Moines, IA.

Credit_Risk_Analysis

Testing machine learning algorithms in Python on a credit dataset to evaluate performance and choose a recommended model

Cryptocurrencies

data

Data and code behind the articles and graphics at FiveThirtyEight

MechaCar_Statistical_Analysis

Using R to analyze a dataset of vehicle statistics.

Movies-ETL

Using Python to create an automated pipeline that will Extract, Transform, & Load data which builds a database of movies.

PlotlyPages

Using HTML and JavaScript, create a dashboard for participants of a belly button bacteria study to select their individual IDs and display various visualizations analyzing their results.

World_Weather_Analysis

Using OpenWeatherMap's API to allow a travel app to filter potential destinations by a user's weather preference. Then using Google Maps Directions API, create a marker layer map with a travel route between four cities of a possible itinerary.

NFL_Totals-MachineLearningModel

Using machine learning to predict the scoring in an NFL game. Data from Kaggle & Football Outsiders is cleaned using an R script, and then loaded into a database with SQL. Python's SciKitLearn library is then used to construct and run the model, delivering an accuracy score of 56% (minimum accuracy to profit is 53%). Visualizations made in Tableau.

ajp71088/Amazon_Vine_Analysis

ajp71088/bikesharing

Using Python and Tableau to analyze data from New York City's Citi Bike program to explore the creation of a similar program in Des Moines, IA.

ajp71088/Credit_Risk_Analysis

Testing machine learning algorithms in Python on a credit dataset to evaluate performance and choose a recommended model

ajp71088/Cryptocurrencies

ajp71088/data

Data and code behind the articles and graphics at FiveThirtyEight

ajp71088/MechaCar_Statistical_Analysis

Using R to analyze a dataset of vehicle statistics.

ajp71088/Movies-ETL

Using Python to create an automated pipeline that will Extract, Transform, & Load data which builds a database of movies.

ajp71088/PlotlyPages

Using HTML and JavaScript, create a dashboard for participants of a belly button bacteria study to select their individual IDs and display various visualizations analyzing their results.

ajp71088/World_Weather_Analysis

Using OpenWeatherMap's API to allow a travel app to filter potential destinations by a user's weather preference. Then using Google Maps Directions API, create a marker layer map with a travel route between four cities of a possible itinerary.

ajp71088/Election_Analysis

Python

ajp71088/kickstarter-analysis

Performing analysis on Kickstarter data to uncover trends

ajp71088/Mapping_Earthquakes

Using JavaScript, Leaflet.js, and geoJSON data, a map of the world is built that displays every earthquake in the past seven days

ajp71088/Mission-to-Mars

ajp71088/Neural_Network_Charity_Analysis

ajp71088/Pewlett-Hackard-Analysis

ajp71088/PlotlySampleProj

ajp71088/portfolio

ajp71088/PyBer_Analysis

ajp71088/SB_KelceLongestCatchMedian

Using Bayesian Bootstrapping to model for Travis Kelce's median longest catch length in Super Bowl 57

ajp71088/School_District_Analysis

ajp71088/stock-analysis

ajp71088/surfs_up

ajp71088/testingPages

ajp71088/UFOs