Machine Learning/ Data Science Portfolio by Ka Hei Chow

This repository is to serve as a general overview of the standalone data science projects I've worked on apart from my work. Each project's README.md acts as a full description of the project. All of these projects are in Python and R.

Convolutional Neural Network (CNN)

• Paddy Doctor: Paddy Disease Classification

  • Classification challenge on rice paddy images where different dieseases were the class of interest. I spent most of my time on the exploratory data analysis (EDA) and used a deep learning model built on EfficientNet for my submission, where classification accuracy on validation and testing data ranges from 97% to 98%.

• Happywhale - Whale and Dolphin Identification

  • Identify whales and dolphins by unique characteristics

Unsupervised Machine Learning

• Clustering
  • Active Fire clustering.

Visualizations

• Geospatial
  • Visualized geospatial data using pandas, seaborn, matplotlib, numpy and folium.

Spatial Modelling

• Home Range Analysis

• SDM

Natural Language Processing (NLP)

• Disaster Tweets

• Digital Chinese History Blog

  • Chinese Text Analysis

Dashboard

• Data Dashboard
  • Created a geospatial dashboard using flexdashboard generate visualizations for Gorillas' home range.

Image Processing

• Snow Cover Product

  • Developed a snow classification scheme on long-term AVHRR satellite data with spatial and temporal filters
  • Integration test using pytest

• Time Series Analysis