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Name: Jon Kwiatkowski
Type: User
Bio: Data scientist working primarily in Python.
Name: Jon Kwiatkowski
Type: User
Bio: Data scientist working primarily in Python.
Analyze data pulled from OpenWeather API and Google Places API to determine weather trends at varying distances from the equator. Use this information to find an ideal vacation location.
Perform the ETL process completely in the cloud and upload a DataFrame to an RDS instance. Then use PySpark and SQL to perform a statistical analysis of selected data.
Use JavaScript and HTML to create a dashboard with several interactive visualizations.
Created an interactive dashboard that analyzes world temperature and food supply over time. The dashboard contains a world food availability map, a country nutrition choropleth, and a food availability vs temperature graph.
Use machine learning and neural networks as well as the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by a company.
This page contains various information about me including recent projects, education, and work experience.
Use leaflet to to visualize a set of earthquake data.
Analyze data for a pharmaceutical company and use Matplotlib to create visualizations that present findings in a meaningful way.
Use pandas to analyze standardized test results in an effort to help a school district make strategic decisions regarding future budget allocation and priorities.
Use a python script to analyze a set of financial records for a bank as well as a set of poll data for a small town.
Use SQL to perform data modeling, data engineering, and data analysis on a set of CSV files containing data from an employee research project conducted in the 1980s and 1990s.
Use Python and SQLAlchemy to perform basic climate analysis and data exploration of a climate database. Create a Flask app to display results.
Use given data to create machine learning models to classify the risk level of given loans.
Trained and optimized four machine learning models to predict the sentiment of a tweet: Logistic Regression Classifier, Stochastic Gradient Descent, Multinomial Naive Bayes, and Light-Gradient Boosting. The completed website containing the predictor, word collage, project summary, and team page was deployed to Heroku.
Use unsupervised machine learning models to find better ways to predict myopia and nearsightedness.
Analyze a set of traffic data to uncover patterns in traffic accidents across the US.
Use VBA scripting to analyze generated stock market data.
Use HTML and CSS to create a web visualization dashboard comparing and contrasting results from a previous project.
Perform the ETL process on the World Happiness and Human Freedom datasets in preparation for future analysis.
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.