choushuiguo325
Data Scientist (Python (scikit-learn, matplotlib, numpy, pandas), SQL, R (forecast, ggplot), JavaScipt (leaflet.js, d3.js), HTML/CSS, Machine Learning)
Northwestern UniversityChicago, IL
Pinned Repositories
project_2-group
Built a responsive and interactive webpage app with a Tableau dashboard to explore the installation and distribution of 600+ murals and landmarks in Chicago from maps, histograms and charts.
15-deployment
airbnb
API-challenge
interactive_plot-project
Created a responsive and interactive plot to explore the correlation between health risk factors and demographics using HTML/CSS, D3.js, and Bootstrap.
leaflet-project
Built a web app to display multiple and interactive maps with the location and magnitude of earthquakes during the last 7 days around the world. The Javascript-Leaflet library, HTML, CSS, Bootstrap, and Javascript were used in the project. The Mapbox-API was also used to load the base maps.
machine-learning-kepler
Built and optimized the classification system to predict the existence of exoplanets based on 9500+ records by scaling, dimensionality reduction, resampling and GridSearchCV, and performed analysis on the importance of variables
Project-1-
Walmart-Forecasting
Performed the time-series analysis on a five-year daily unit sales data and predicted 28-day unit sales using linear regression, ETS model, ARIMA model, and dynamic regression model.
web_scrapping-project
Built a scrapping application that scraps various websites for data related to the Mission to Mars and displays the information on a single HTML page.
choushuiguo325's Repositories
choushuiguo325/Project-1-
choushuiguo325/15-deployment
choushuiguo325/airbnb
choushuiguo325/API-challenge
choushuiguo325/boilerplate
choushuiguo325/choushuiguo325.github.io
choushuiguo325/dashboard-challenge
choushuiguo325/disaster_tweets_ML
choushuiguo325/ETL-Project
choushuiguo325/greekdemo
choushuiguo325/IMC-465
choushuiguo325/interactive_plot-project
Created a responsive and interactive plot to explore the correlation between health risk factors and demographics using HTML/CSS, D3.js, and Bootstrap.
choushuiguo325/javascript-challenge
choushuiguo325/leaflet-project
Built a web app to display multiple and interactive maps with the location and magnitude of earthquakes during the last 7 days around the world. The Javascript-Leaflet library, HTML, CSS, Bootstrap, and Javascript were used in the project. The Mapbox-API was also used to load the base maps.
choushuiguo325/machine-learning-kepler
Built and optimized the classification system to predict the existence of exoplanets based on 9500+ records by scaling, dimensionality reduction, resampling and GridSearchCV, and performed analysis on the importance of variables
choushuiguo325/Matplotlib-challenge
choushuiguo325/pandas-challenge
choushuiguo325/Python-challenge
choushuiguo325/sql-challenge
choushuiguo325/sqlalchemy-challenge
choushuiguo325/VBA-challenge
choushuiguo325/Walmart-Forecasting
Performed the time-series analysis on a five-year daily unit sales data and predicted 28-day unit sales using linear regression, ETS model, ARIMA model, and dynamic regression model.
choushuiguo325/Web-Design-Challenge
choushuiguo325/web_scrapping-project
Built a scrapping application that scraps various websites for data related to the Mission to Mars and displays the information on a single HTML page.
choushuiguo325/Recommendation_System_New_York_Times