Last Update: 15 Jan 2022 Welcome to Part II of Predictions using Logistic Regression, LDA, and QDA with sklearn: Breast Cancer Dataset, Part II We will explore the Quadratic Discriminant Analysis (QDA) in Part II using the sklearn library to “predict” if some of the patients have developed a “malign” or “benign” breast cancer Please go directly to the next section if…
Last Update: 02 Jan 2022 This article will explore applications of statistical learning techniques using the Biopsy Data on Breast Cancer Patients dataset. We will dive into linear methods, such as Logistic Regression (LR), Linear Discriminant Analysis (LDA), and Quadratic Discriminant Analysis (QDA). We will also use the sklearn library package to “predict” if some of the patients have developed a “malign”…
Quick Overview: Cross-Validation, Regression, Classification, Confusion Matrix and ROC. Last Update: 05 Aug 2022 Welcome to the k-NN algorithm from Scratch: Biopsy Data on Brest Cancer Patients. These sequential articles will guide you towards understanding how the k-Nearest Neighbours (k-NN) algorithm can be developed from scratch using Python. This session will explore tuning procedures such as the k-fold cross-validation, application of the k-NN for…
Last Update: 01 Jan 2022 Welcome to Part III of the k-NN algorithm from Scratch: Application. This session will explore the k-fold cross-validation procedure with an application of the k-NN algorithm using the IRIS flower dataset. We will also use the built-in functions developed in my previous quick articles. Please consider reading both k-NN algorithm from Scratch: Part I and Part II, if…
Last Update: 01 Jan 2022 Welcome to Part II of k-NN algorithm from Scratch. This sequence of quick articles will guide you towards understanding and building the k-Nearest Neighbours (k-NN) algorithm from Scratch using Python for classification and regression. Please consider reading “k-NN algorithm from Scratch: A Quick Intro, Part I, if you feel uncomfortable proceeding directly to Part II. These sequential posts are part…
Last Update: 05 Aug 2022 This sequence of articles will guide through the k-Nearest Neighbours (k-NN) algorithm using two different approaches: (i) k-NN for classification and (ii) regression. By the end of this series, you will be able to use the k-NN algorithm to “predict” if patients have developed a “malign” or “benign” breast cancer using the Biopsy Data on Breast Cancer…
