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DJ's Projects

airbnb_pricing icon airbnb_pricing

This project is to analyze and compare Airbnb listing price in Boston and Seattle, to find any trends, and to identify what factors affect the Airbnb listing price.

disaster_response icon disaster_response

During disaster events, sending messages to appropriate disaster relief agencies on a timely manner is critical. Using natural language processing and machine learning, I built a model for an API that classifies disaster messages and also a webapp for emergency works.

dsnd_term1 icon dsnd_term1

Contains files related to content and project of DSND

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

finding_donors icon finding_donors

The goal of this project is to help a fictitious charity organization (CharityML) to develop a supervised learning model that can accurately predict whether an individual makes more than $50,000 annually. Understanding an individual's income can help this charity better understand which potential donors they should reach out and the amount of donation to request.

forecast_monthly_vehicle_sales icon forecast_monthly_vehicle_sales

This project is to use time series forecasting techniques to find the trend and future monthly vehicle sales in the United States.

identify_customer_segmentation icon identify_customer_segmentation

The goal of this project is to help a mail-order sales company in Germany to identify segments of the population that form the core customer base. These segments can then be used to direct marketing campaigns towards audiences that should bring high expected returns.

image_classification icon image_classification

This project uses pre-trained neuron network densenet121 and trains an image classifier to recognize 102 species of flowers with 89% accuracy.

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

recommendation_engine_with_ibm icon recommendation_engine_with_ibm

This project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like. Recommending articles that are most pertinent to specific users is beneficial to both service providers and users.

resume icon resume

A minimal Jekyll Theme to host your resume (CV)

sparkify_churn_analysis icon sparkify_churn_analysis

Preventing churn is key to improving revenue for Sparkify, a subscription-based company (fictitious). This project is to analyze data from Sparkify to build a model to predict user churn. First, a sample dataset (128MB) was used on a local machine to explore relevant features and develop a working model. Then similar steps were used to develop a final working model for the full dataset(12GB) on the AWS cloud.

ustcdj.github.io icon ustcdj.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

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