cogentdom Goto Github PK
Name: Dominik Huffield
Type: User
Company: Toro AI
Bio: Collaborate, Integrate, Optimize
Twitter: cogentdom
Location: Boise, ID
Blog: toroai.io
Name: Dominik Huffield
Type: User
Company: Toro AI
Bio: Collaborate, Integrate, Optimize
Twitter: cogentdom
Location: Boise, ID
Blog: toroai.io
This project scrapes data of stocks and feeds them down a pipeline that trains an ML model and displays it as a dashboard using Streamlit. This Streamlit app is then containerized using docker and deployed to a virtual machine on AWS using EC2. This EC2 instance is then accessed from a custom domain name that is being hosted on a Cloudflare DNS server.
This project scrapes data of stocks and feeds them down a pipeline that trains an ML model and displays a dashboard using Streamlit. This application is then containerized using docker and deployed to a virtual machine on AWS using EC2. This instance is then accessed from a custom domain name that is being hosted on a Cloudflare DNS server. The major problem within this project was the complex nature resulting from a high number of composition files. Due to the uniqueness of the deployment I found no insight from research and ultimately performed brute force through experimentation to reach a solution.
This project will read the Human Genome by encoding the sequence. Sequenced using the 4 different organic chemicals, known as bases, the Human Genome is about 2.87 billion bases long. Utilizing the B-tree data structure as a solution for memory constraints we will also be able to search the sequence with a O(log n) capability.
cs321 lab1
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