Whether or not results are significant is often the most important detail of hypothesis testing. Insignificant results are not likely to be reproduced or meaningful and thus dropped, but significant results are published and put into development. For the vast majority of cases, significance is based on the p value…

In the last several posts, I have covered the basics of time series analysis, the creation of ARIMA models, and the creation of SARIMA models. For this post, I wanted to cover a different family of time series models, exponential smoothing methods. First, I will explain what exponential smoothing is…

For the last couple of weeks I have been walking through time series modeling. For today’s post I wanted to continue this topic and focus on the SARIMA model. For this analysis I will assume that you have read my previous articles on ARIMA modeling and time series analysis, so…

Last week I posted about the basics involved in time series modeling. Today I wanted to expand on that topic by going over one modeling algorithm in detail. Let’s talk about the ARIMA model and how to build it. What is ARIMA? An ARIMA model is a very common way to analyze a…

Recently I’ve been working on a project tracking Covid-19 infections and vaccinations. The bulk of this project involves working with time series data, and I wanted to talk a little bit about what makes a time series and what assumptions need to be met to model the data effectively. …

Visualizations are at the heart of data science. There is no clearer way to describe the statistics of a dataset or the results of a model than through a well organized graph. Luckily, python has many libraries that facilitate creating a well constructed visualization. In this post, I will be…

(Originally published November 18, 2020 here.) For this blog post, I want to go over the process of one of my recent projects. The goal of the project was to identify the five best area codes for short term (1–3 years) real estate investment in Philadelphia. To accomplish this goal…

(Originally published November 28, 2020 here.) For today’s post I wanted to go over another of my recent projects, classifying songs as hits or flops based off of descriptive features. The data that I used for this project came from kaggle. Using features such as the duration, energy and danceability…

(Originally published December 8, 2020 here) As a consumer in the modern world it is easy to feel adrift in the sea of possibilities. There are limitless numbers of products for sale and it is often difficult to find a particular product that best suits what you’re looking for. This…