Useful tips for everyday
How do you visualize a multivariate linear regression? The best way to visualize multiple linear regression is to create a visualization for each independent variable…
Is Lasso regression A GLM? Lasso is a regularization technique for estimating generalized linear models. Lasso includes a penalty term that constrains the size of…
How do you update a row in a csv file in Python? Approach Import module. Open csv file and read its data. Find column to…
What order does the object detection model report the bounding box parameters? In order to train a custom model, you need labelled data. Labelled data…
How to know what Sigma should be for Gaussian filtering? When applying a Gaussian blur to an image, typically the sigma is a parameter (examples…
Why do we need more hidden layers? One hidden layer is sufficient for the large majority of problems. Usually, each hidden layer contains the same…
How do you calculate perplexity of a model? Perplexity is sometimes used as a measure of how hard a prediction problem is. This is not…
Is K-means a clustering? K-means clustering is one of the simplest and popular unsupervised machine learning algorithms. In other words, the K-means algorithm identifies k…
What is additive and multiplicative model? The additive model is the arithmetic sum of the predictor variables’ individual effects. For a two factor experiment (X,…
Why is continuous data better than categorical data? As demonstrated above, treating an experimental variable as continuous rather than categorical during analysis has a number…