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Name: Michael Mishkanian
Type: User
Bio: Passion for research, uncovering trends, and creating visualizations.
Location: San Jose, California
Name: Michael Mishkanian
Type: User
Bio: Passion for research, uncovering trends, and creating visualizations.
Location: San Jose, California
Analysis of a customer review dataset from Amazon. ETL process is performed using PySpark and is connected to an AWS RDS instance. Pandas is used to determine if there is any bias towards favorable reviews from "Amazon Vine" members.
Visual business proposal created using Tableau. Data is modified using Pandas to properly generate graphs.
Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results.
Cryptocurrency data is preprocessed using Pandas to fit Unsupervised Machine Learning models. A clustering algorithm is used to group data. hvPlot visualization are used to share results.
Audit and analysis of an election to determine winner. Python script created to analyze CSV file.
Simple flashlight app written in Swift for iOS devices.
Capstone project for the Google Data Analytics Professional Certificate.
Excel analysis on Kickstarter data to uncover trends.
Creating visualizations of earthquake data from the U.S. Geological Survey using Leaflet.js and Mapbox API. Multiple map styles and popup markers are also included.
C++ program that can be used as a math tutor for young students to practice adding numbers.
Statistical analysis of a product prototype using R and tidyverse. Multiple linear regressions, statistical summaries, and t-tests are used for analysis and predictions. A study is also designed to compare this product to the competition.
A web app is built to scrape several NASA websites for the most recent Mars data. The extracted data is stored in a NoSQL database and then an HTML page is created to display the findings.
Creation of an automated pipeline that extracts and transforms movie data from Wikipedia, Kaggle, and MovieLens. The cleaned data is loaded into a PostgreSQL database.
Created a deep-learning neural network to analyze and classify the success of charitable donations. Trained models are stored for future use. Attempts are made to optimize the working model.
Investigation of a company's employment records using PostgreSQL to find the number of retiring employees by position. Potential solutions are also discussed.
Built an interactive dashboard using event handlers in JavaScript and Plotly.js to create graphs. The finished product is deployed to GitHub Pages.
Created the classic game Pong using Python.
Michael Mishkanian's portfolio.
Ride-sharing data is analyzed to provide a visual summary of performance and offer data driven suggestions.
Analysis of school district data, such as school budgets and student performance, to uncover trends and draw conclusions.
VBA Analysis of over 3,000 stock data points.
Analyzing temperature trends and generating statistical summaries. Used SQLAlchemy to connect to and query a SQLite database.
Creation of a UFO webpage, which has a dynamic table that allow users to filter for multiple criteria at the same time. This webpage is built with JavaScript, HTML, and CSS.
Retrieval and analysis of weather data using OpenWeatherMap API. Data is used to created a vacation and travel itinerary using Google Maps Platform APIs.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.