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.
Statistics Hypothesis testing, p-value, types of t-test, and much more Inferential Statistics Inferential statistics allow you to draw inferences about the population from the sample. It
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
Logistic Regression in Python Logistic Regression is used for classification problems in machine learning. It is used to deal with binary classification and multiclass classification.
The math behind Linear Regression and the Python way of implementation Linear Regression in Python Linear Regression is a machine learning algorithm based on supervised