Row Vector, Column Vector, Dot Product Linear Algebra for Data Science A good understanding of linear algebra is much needed for understanding many machine learning algorithms. In
Correlation Coefficient In machine learning, before we generate any model, we need to understand the relationship between independent variables and the target variable. The correlation
Data Visualization Seaborn plots Data Visualization Using Seaborn Seaborn is used for data visualization, and it is based on matplotlib. It provides a high-level interface for
KNN The K-Nearest Neighbours (KNN) algorithm is one of the simplest supervised machine learning algorithms that is used to solve both classification and regression problems.
Machine Learning Mathematical explanation and python implementation using sklearn Naive Bayes Classifier Naive Bayes Classifiers are probabilistic models that are used for the classification task. It
The math behind decision trees and how to implement them using Python and sklearn Decision Trees The decision tree is a type of supervised machine