The k-nearest neighbors (KNN) algorithm is a supervised learning method. The method can be used for solving regression or classification problems. The k-nearest neighbors regressor is used for solving regression problems, and the k-nearest neighbors classifier is used...
One of the concerns while solving a problem using machine learning is data leakage. While solving a machine learning problem, we split the whole dataset into training and test set. We need to be very cautious so that there is no data leakage from the training set to...
Let’s say we are reading the Pima Indians Diabetes dataset. The dataset contains various predictor variables such as the number of pregnancies the patient has had, the BMI, insulin level, age, etc. A machine learning model can learn from the dataset and predict...
What is logistic regression? Logistic regression is used in classification problems. Let’s say we are given the sepal length, sepal width, petal length, and petal width of two types of flowers. Based on these parameters, we have to classify the type of flower. Here,...
What is a Support Vector Machine (SVM)? In machine learning, a Support Vector Machine (SVM) is a supervised learning model that can be used for solving regression or classification problems. Let’s say a dataset has n features X=[x1, x2, ..., xn]. So, we can think of...
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