Joel Dirisam
I'm a software engineer. I build full-stack web apps with Python and React, and I like explaining how machine learning works.
Projects
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Logistic regression on DonorsChoose.org
Predicts which project proposals on DonorsChoose.org are likely to be accepted, tuned to maximize the area under the curve.
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Dimensionality reduction on Amazon food reviews
Applies t-SNE (t-distributed stochastic neighbor embedding) to Amazon food review text.
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Wine quality prediction
Uses SVM and k-nearest neighbors, and finds which features help and which lower the model's accuracy.
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Exploratory data analysis
Explores datasets to draw out insights and understand the data before modeling.
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Stay Connected
A Windows app that tells you when friends are within a chosen radius. Built in C# in 2014 for Microsoft's Windows App Development Program.
Writing
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How logistic regression works
A simple algorithm that often beats more complicated ones, and a walk through how it works.
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Why do we need to standardize the data?
A practical explanation of standardization, worked through with three data points.
Papers
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Predictive analytics of donors in crowdfunding platforms: a case study on DonorsChoose.org
IEEE
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Fuzzy based summarization of product reviews for better analysis
With Dr. Anuradha G. Sentiment analysis applied to product reviews, to summarize them for a better understanding of the product or service.
About me
I'm a husband, a father and a software engineer.