Hyperparameter Tuning
1. Definition Hyperparameter Tuning is the process of finding the best settings for a Machine Learning algorithm to improve its performance. Every…
Reinforcement Learning
Chapter 15 — Reinforcement Learning 1. Definition Reinforcement Learning (RL) is a type of Machine Learning in which an Agent learns by interact…
Hierarchical Clustering
Chapter 12 — Hierarchical Clustering 1. Definition Hierarchical Clustering is an Unsupervised Machine Learning Algorithm that groups similar data…
K-Means Clustering
1. Definition K-Means Clustering is an Unsupervised Machine Learning Algorithm that groups similar data into K different clusters . The value of K …
Unsupervised Machine Learning
Unsupervised Machine Learning is a type of Machine Learning in which the model learns from data without any target (output) column . Unlike Supervis…
knn assignments in machine learning
Assignment 1 — Employee Salary Category Prediction using K-Nearest Neighbors (KNN) Objective Build a K-Nearest Neighbors (KNN) Classification model …
KNN in machine learning
Introduction to K-Nearest Neighbors (KNN) What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors (KNN) is a Supervised Machine Learning algorithm u…
