How to use Nearest Neighbours for Regression in Python Nearest Neighbors is a popular method of statistical analysis that can be used to predict a continuous variable based on a set of input variables. In this article, we will go over the basics of how to use Nearest Neighbors for regression in Python. First, we …
How to create and optimise a baseline DecisionTree Model for Multiclass Classification in Python Decision Trees are a popular method of statistical analysis that can be used to predict a categorical variable based on a set of input variables. They are very helpful for both classification and regression problems. In this article, we will go …
How to create and optimise a baseline DecisionTree Model for Binary Classification in Python Decision Trees are a popular method of statistical analysis that can be used to predict a categorical variable based on a set of input variables. They are very helpful for both classification and regression problems. In this article, we will go …
How to check model’s accuracy using Cross Validation in Python When building a machine learning model, it’s important to evaluate its accuracy to make sure it’s performing well. One technique for doing this is called cross-validation. Cross-validation is a method that allows to test the model’s accuracy by dividing the data into several parts, training …
IRIS Flower Classification using Logistic Regression Classifier IRIS flower classification is a common problem in machine learning. The IRIS dataset is a well-known dataset that contains information about different types of IRIS flowers, including their sepal length, sepal width, petal length, and petal width. The goal of IRIS flower classification is to use this …