Michael Binger's repositories
Fantasy-Sports-Projections
Personal project to scrape MLB & NBA stats and analyze best performers to use for fantasy baseball and basketball drafts
Deuces-Wild-Poker
A simulator of the Deuces Wild Poker casino game and odds predictor
Mapping_Earthquakes
Fetched GeoJSON earthquake data from the USGS website, including coordinates and magnitudes, using JavaScript and the D3.js library. Created an interactive map from Mapbox through an API request, which has settings to toggle options to highlight major earthquakes, show tectonic plates, and change the map view
Pewlett-Hackard-Analysis
Used SQL queries to determine the number of employees who will be eligible to retire in the next few years, broken down by company departments. Created tables to compare number of employees potentially retiring and those eligible to fill their roles.
Amazon_Vine_Analysis
Analyzed reviews for Music products on Amazon written by members of the paid, Amazon Vine program looking for potential bias in the reviews. PySpark was used to extract and transform the review data, which was connected to an Amazon Web Service RDS and loaded into pfAdmin.
Bike-Sharing
Displayed findings from analysis of bike sharing data in New York City in multiple formats via Tableau to determine viability of program operating in Des Moines, Iowa
code-challenges
Saving coding challenges in one location to continue to practice and demonstrate my skills
Mission-to-Mars
Scraped data from several websites and used MongoDB to compile the scraped data. Created a flask application and used HTML code to display our data online in an orderly and presentable fashion.
Movies-ETL
Extracted movie data from Kaggle and Wikipedia, transformed the data to be usable for a hackathon competition using Pandas and Jupyter Notebook, and loaded the data to SQL in PGAdmin 4 and merged the datasets.
Credit_Risk_Analysis
Built, trained and evaluated multiple supervised machine learning algorithms to predict credit risk for loan applicants. Algorithms ran include Random Oversampler, SMOTE, Cluster Centroids, SMOTEENN, Balanced Random Forest Classifier, and Easy Ensemble Classifier.
Cryptocurrencies
Preprocessed cryptocurrency dataset for Principal Component Analysis. Ran K-means algorithm to predict the optimal amount of K clusters for algorithm. Built table of currently tradable cryptocurrencies using hvplot.table function.
Election_Analysis
Wrote a script in Python to summarize election data and determine the results of the election.
Improbable-Beef
Built and used github-pages to host an interactive webpage using JavaScript and HTML code to create a variety of charts displaying each patient’s belly button hygiene and bacteria that lives within their belly buttons.
kickstarter-analysis
Analyzed the outcomes of Kickstarter campaigns based upon the launch date, campaign goals, and other factors using Microsoft Excel charts and pivot tables
MechaCar_Statistical_Analysis
Performed a statistical analysis with t-tests and linear regression in R and R Studio on data taken from car design specs to determine if there were any differences between the cars in performance that were statistically significant.
MLB_player_page
Webpage for final project built to display player and team MLB WAR data as they relate to injuries
Neural_Network_Charity_Analysis
Preprocessed dataset of over 34,000 charity organizations to compile, train, and evaluate neural network model on dataset using TensorFlow. Analyzed results of neural network model to determine if donations to organizations would help the organizations succeed.
Professional-Portfolio
HTML code for personal online professional portfolio and host.
PyBer_Analysis
Visualized and analyzed ride share data using jupyter notebook, Pandas, and Matplotlib, comparing fare and driver data in urban, suburban, and rural areas.
School_District_Analysis
Determined whether student test scores are impacted by factors such as school size, school budget, student grade, etc. for a city school district using a python script in jupyter notebook with the Pandas dependency. Cleaned city school district data to eliminate problematic data that was impacting our analysis of student success on standardized tests.
Sports_Binging
Miscellaneous sports data analysis to see if I find anything interesting.
stock-analysis
Wrote a program in VBA to filter through stock market data, analyze their performance, and created a button on the worksheet for users to run the code themselves.
World_Weather_Analysis
Accessed Google Maps and Open Weather Map APIs as well as a Python script with multiple dependencies to create a responsive program that creates a travel route between user-selected cities and creates a map with markers.