In this post, we will analyze Telcon's Customer Churn Dataset and figure out what factors contribute to churn. By definition, a customer churns when they unsubscribe or leave a service. With survival analysis, the customer churn event is analogous to death. Armed with the survival function, we will calculate what is the optimum monthly rate to maximize a customers lifetime value.

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In this tutorial, we will implement a UNet to solve Kaggle's 2018 Data Science Bowl Competition. The challenge asks participants to find the location of nuclei from images of cells.

On July 2017, NYC has announced a $32 million plan towards reducing rodent populations. The plan will fully take into affect at the end of 2017. We will analyze how NYC's current process to control rodent population is successful by using 311...

Constructing a UNet requires you to keep track of every signal size that flow through the UNet. This can lead to size mismatches when constructing the neutral network. To remedy this issue, I created a small PyTorch UNet module that calculates the...

In this blog post, we will look at the coin flip problem in a bayesian point of view. Most of this information is already widely available through the web, but I want to write it up anyways, so I can go into more involved bayesian concepts in future...

There are a few topics that I wish were taught in an introduction to statistics undergraduate course. One of those topics is Bayesian Statistics, the other is Statistical Power. In this post, I go through the analysis of flipping coins, and how to...

Sometimes it can be quite harmful to remove features in a data set. This entry gives an example of when principle component analysis can drastically change the result of a simple linear regression.