Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.
Time series forecasting is used in multiple business domains, such as pricing, capacity planning, inventory management, etc. Forecasting with techniques such as ARIMA requires the user to correctly determine and validate the model parameters (p,q,d). This is a multistep process that requires the user to interpret the Autocorrelation Function (ACF) and Partial Autocorrelation (PACF) plots correctly. Using the wrong model can easily lead to erroneous results.
Regression with Count Data: Poisson and Negative Binomial
Poisson, quasi-Poisson, and negative binomial regression - when to do them and how you should choose the method. What are overdispersion and underdispersion,...
by Sharad Vijalapuram How to read a Regression TablePhoto by Isaac Smith on UnsplashWhat is regression?Regression is one of the most important and commonly used data analysis processes. Simply put, it is a statistical method that explains the strength of the relationship between a dependent variable and one or
Recently we argued that confidence intervals are a poor choice for analyzing staged rollout experiments. In this article, we show a better way: a Bayesian approach that gives decision-makers the answers they really need. Check out our interactive Streamlit app first, then the article for the details.
Review: Statistical Rethinking, by Richard McElreath
This is an absolute gem of a book. McElreath has found an elusive combination: Statistical Rethinking is not only one of the best intro textbooks for both causal and Bayesian modeling, it's also highly readable, even entertaining.
Applications of survival analysis (that aren't clinical research)
Survival analysis has been a standard tool for decades in clinical research, but data scientists in other domains have mostly ignored it. Here are some applications for which you might use survival analysis, to jump-start your creative data science engine.