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Articles tagged with #statistics
Male and Female Weight Let's suppose we collected some data from some University students. We asked every student their gender (Male = M, Female = F) and their weight. We will build a model that can predict if you are a male or a female based only on...
Lucky Correlations One of the challenges we face while designing machine learning solutions is picking the right prediction features. Deciding which elements are essential and which ones genuinely contribute to model performance becomes complicated a...
Today's post is about how to recommend things. Concretely, we are going to perform a basic implementation of an item-to-item recommender by using the Correlation coefficient we explored in another post. To explore this idea, we will be using a Cereal...
Boostraping Bootstrapping is a resampling technique with replacement; that is, we can choose on every sample a subset of elements that might be repeated. The bootstrap method is a statistical technique for estimating quantities of a population by ...
To understand what a p-value is, I looked into some simple scenarios to explain this without having to get into probability density functions and distributions. StatQuest had a very nice idea of explaining this with coin flips. Let's check this out h...
Covariance Covariance is a measure that help us understand if two independent variables vary together (also called joint variability). If the covariance is positive the the variables move in the same direction. If the covariance is negative, then th...
