Paper: Fake_News_Capstone Poster: Github directory: https://github.com/mashres15/FakeNewsCapstone
Worked on the poster and got it printed. Copy of the poster attached.
This week, I was focused on making the poster and including the final results of my research.
Here is an updated machine learning pipeline for my project.
Submitted the CS second draft on Wednesday and waiting for Xunfei’s Feedback. The demo presentation went well without much questions from the audience. On working on making the poster for the presentation on Dec 5.
Worked on the demo presentation. Experimented with 2 datasets each taking 4 hours of run time. One observation I found is that changing the labels of the fake news changes the accuracy. It was found that detecting reliable news rather … Read More
The front end development part for my project is almost complete. The database setup and connection is completed. The integration of backend machine learning model with flask has worked. The flask prediction model has also been linked with the frontend. There … Read More
Worked on the front end component of the project. With the sys admin telling me that they cannot host flask for my project. I started to look for alternatives. Heroku could not be used as it did not provide support for … Read More
Finished the machine learning pipeline with actual experimentation. Having issues getting Flask setup and have been in touch with the SysAdmins. Halfway through the first draft of the paper. Made new design for the system architecture.
I did an experimentation with Sci-kit Learn. The run-time for the program was more than 2 hours. Testing the multiple dataset has been an issue lately.
Progress on the draft of the paper. Related works is almost completed.
Worked on the first draft of the paper. Focusing on the related works and findings currently.
Build a rough machine learning pipeline for testing. Worked with Ajit to update timeline. Started with the first draft of paper.
Created a smaller dataset using pySpark for training and testing the fake news model.
Worked with setting up sci-kit learn and testing environment. Got Craig to give me access to Pollock and Bronte.
Started the project pipeline for Fake News Detection.
A Data Science and Machine Learning Project to explore the stock data of a particular stock exchange. The exploration will be focused on observing the repetitive trend in stock markets and relating it to the business cycles. Some questions that can … Read More
A portfolio tracker that keep tracks of investments in stocks in a particular market. Keeping in mind the time limitation, it would be better to focus on small markets for this project. The web-based application will provide different portfolios to … Read More
The project is about creating a software that can determine an optimal value for a company by looking at their balance sheets records in the past to predict future cash flows. Financial analysis methods such as DCF, DDM and FCE … Read More