This tutorial aims to explore the most popular models used to predict an ordered response variable…

The super easy way, at least for me, to deploy machine learning models is by making use of the R package **tidymodels**, which is a collection of many packages that makes…

When we deal with data that has a response variable of integer type, using a linear regression may violate the normality assumption and hence all the classical statistic tests would fail to evaluate the model…

In this paper we learn how to implement xgboost model to predict the titanic data…

In this paper we will fit a logistic regression model to the **heart disease** data…

In this paper we will explore the **k nearest neighbors** model using two data sets, the first is **Tiatanic** data to which we will fit this model for classification, and the second data is **BostonHousing** data (from **mlbench** package) that will be used to fit a regression model…

The imbalanced data is the common feature of some type of data such as fraudulent credit card where the number of fraudulent cards is usually very small compared to…

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