You may have seen me tweeting about some research I did on “Data Visualization for Exploratory Data Analysis” for my Cognitive Systems Engineering course. My presentation went really well! I’m less satisfied with the paper since it was done in a hurry to complete the project deliverables, but i’m including it because it explains some… Continue reading Data Visualization Project
Category: grad school
What I’m up to
I haven’t written here in a while because I haven’t “finished” anything I have been wanting to write about, but why wait until I’m completely done, right? So, here’s a bit about what I’ve been up to data-science-wise: I’m in a grad class called Stochastic Models and we’re learning about Markov Chains right now. Fascinating… Continue reading What I’m up to
Goal #1 Reached!
My first “Becoming A Data Scientist” goal was to get an “A” in my Machine Learning class this semester, and I did! Now I can cross that one off the list: Updated Goals
ML Project 4 Results
I am happy to report that I got 100% on the final project I did in the last 2 weeks for my Machine Learning grad class (which is especially great because that was 30% of my grade for the semester!) and I got some good feedback from the professor: Very good analysis and you showed… Continue reading ML Project 4 Results
Machine Learning Project 4
So immediately after I turned in project 3, I started on Project 4, our final project in Machine Learning grad class. We had a few options that the professor gave us, but could also propose our own. One of the options was learning how to implement Random Forest (an ensemble learning method using many decision trees) and analyzing a given data set, so I proposed using Random Forest on University Advancement (Development/Fundraising) data I got from my “day job”. The professor approved it, so I started learning about Random Forest Classification.
ML Projects 2 & 3 Results
I was in such a rush to finish Project 3 by Sunday night, I didn’t post about the rest of my results, and now before I got a chance to write about it, the professor has already graded it! I got 100% on this one I just turned in, and also just found out I got 100% on Project 2!! This makes me feel so good, especially since I didn’t do so well on the midterm, and confirms that I can do this!
ML Project 3 (Post 3)
Last night I got the FNN Classifier working on the 16-input 10-output data file for Project 3 in my Machine Learning class.
Here’s the output!
ML Project 3 (Post 2)
Tonight I have learned how to use PyBrain’s Feed-Forward Neural Networks for Classification. Yay! I had already created a neural network and used it on the project’s regression data set earlier this week, then used those results to “manually” classify (by picking which class the output was closer to, then counting up how many points… Continue reading ML Project 3 (Post 2)
Machine Learning Project 3
I’m in the midst of working on Project 3 for my Machine Learning class. This one has the following tasks: Train a 3-layer (input, hidden, output) neural network with one hidden layer based on the given training set which has 8 inputs and 7 outputs. Obtain training & testing errors with the number of hidden… Continue reading Machine Learning Project 3
ML Project 2 (Post 2)
I finished the Linear Regression & Classification project for Machine Learning class tonight. The part that took me the longest was definitely the conversion of the C sample code to Python! I can read C OK, but have never written more than the most basic code in C, and want to learn Python as well… Continue reading ML Project 2 (Post 2)