Skip to main content
Earlham CS/DS Portfolios

Anh Dang

CS 488 – Succinct description

by

My project aims to develop models where we can predict the risk of having cancer based on both numerical data and image data. After training all the models, they will be analyzed to see which has the best accuracy and possible ideas to improve the accuracy. After that we can decide the best model to … Read more

CS 488 – Week 6

by

This week I started working on writing the first draft of the paper. The models seemed to run probably when I tried to test with the small data set. However the accuracy was not what I wanted since there were not enough data. I will tried to implement these models on an online cloud computing … Read more

CS 488 – Week 5

by

This week, I focus on the writing parts including the outline for the capstone paper. I also start implementing some neural network models for the image data set such as MobileNet and EfficientNet. I will try to test the model using a small sample training data set while waiting for Layout to be available so … Read more

CS 488 – Week 4

by

This week, I started the data preprocess for my image data. The steps include, resizing, cropping, normalizing and lastly change to tensor value so that it can be fit in a neural network. For the numerical data set, I started looking into different algorithms which are not as computationally expensive as neural network such as … Read more

CS 488 – Week 3

by

This week, I tried to implement some models and was hoping to get it on our Layout server with GPUs. However, the system admins were still working on that and I could not ssh to the server. Therefore, I created a google cloud free trial account and started writing and testing my model on their … Read more

CS 488 – Week 2

by

This week I have looked at some papers of most recent models for classifying images to build for my dataset. I encountered some challenges while reading those papers since there were terms that were hard to understand. Next week, I will continue to work on the image dataset and model.

CS 488 – Week 1

by

I go through the project again because it has been a while since I had CS 388 last Spring. I downloaded the data set and started doing some data manipulation and preprocessing. I will start looking at the models for image data set next week.

Week 6 Update

by

Found some more research papers to read which were related to the topic that I chose. Worked on the literature review.

Week 4 Update

by

In past week, I have spent time doing research to find interesting papers that I think will be related to my ideas. For each of my ideas there are at least five papers to take a look on at thee moment. However, for the last idea about a mobile application for time scheduling, I could … Read more

Week 3 Update

by

I have talked with Ajit about all three ideas and received some feedbacks and suggestion. Also, I have started finding research papers that are related to my ideas to read for next week.

Week 1 Ideas

by

Idea 1: Optical Character Recognition using Machine Learning Optical character recognition is not a completely new field of research. However, with the advance of today’s technology, we can apply machine learning to optical character recognition and therefore can recognize not only the printed characters but the more difficult handwritten characters or characters from different type … Read more