Are you wondering whether to use a logistic regression for a data science project? Or maybe you are wondering what advantages logistic regression has over similar models? Well either way, you are in luck! In this article we tell you everything you need to know to determine when to use logistic regression for a data …
Are you wondering what overfitting is in machine learning? Or perhaps you are wondering how to identify and treat machine learning models that are overfitting? Either way, you are in the right place! In this article we tell you everything you need to know to understand what overfitting is, why it is a problem, and …
Are you wondering how to create a regression model for count data? Well then you are in the right place! In this article we tell you everything you need to know to select the best regression model for your count data. First we discuss what count data is and when you should use a regression …
Are you wondering when you should use poisson regression? Well then you are in the right place! In this article we tell you everything you need to know to determine whether you should use poisson regression. We start out by explaining what the main advantages and disadvantages of poisson regression are to help contextualize this …
Are you wondering what the difference between multiclass and multilabel classification is? Or maybe you are interested in hearing about the difference between multilabel and multitask classification? Well either way, you are in the right place! In this article we tell you everything you need to know to understand what multiclass, multilabel, and multitask classification …
Multiclass, multilabel, and multitask classification Read More »
Are you wondering when to use random forests as opposed to other machine learning models? Well then you are in the right place! In this article we tell you everything you need to know in order to understand when to use random forests. We start out with a discussion of the main advantages and disadvantages …
Are you wondering why you should use feature selection techniques to reduce the number of features used in your machine learning model? Or maybe you have decided you want to reduce the number of features you are using but you are unsure what feature selection techniques you should use? Either way, we’ve got you covered! …
A practical guide to feature selection for machine learning Read More »
Are you wondering what stratified cross validation is and how it differs from regular cross validation? Or maybe you are wondering when you should use stratified cross validation in place of cross validation? Well then you are in the right place! In this article we tell you everything you need to know about stratified cross …
Are you wondering whether random forest models are prone to fitting? In this article we discuss everything you need to know about random forest models and overfitting. We start with a discussion of what overfitting is and how to determine when your model is overfitting. After that we discuss random forests and the likelihood that …
Are you wondering why you should use baseline models for machine learning? Or maybe you are more interested in hearing more about how to build baseline models for machine learning? Either way, we’ve got you covered! In this article we tell you everything you need to know about building baseline models for machine learning. In …
