Random Forests
Random Forests in Machine Learning 1. Introduction to Random Forests Random Forest is a Supervised Machine Learning algorithm that is used for both Classification and Regression tasks. It is an….
Tag: Regression
Decision Trees
Decision Trees in Machine Learning 1. Introduction to Decision Trees A Decision Tree is a Supervised Learning algorithm used for both classification and regression problems. It mimics human decision-making by….
Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
Types of Machine Learning Machine Learning (ML) is classified into three main types: Each type has its own approach, methodologies, and applications. Below, we will explore them in detail, covering….
Using Principal Component Analysis (PCA)
Principal Component Analysis (PCA) – A Comprehensive Guide Introduction to PCA Principal Component Analysis (PCA) is a powerful dimensionality reduction technique used in machine learning and data science. It transforms….
Data Encoding Techniques (One-Hot Encoding, Label Encoding)
Data Encoding Techniques: One-Hot Encoding & Label Encoding Introduction to Data Encoding Data encoding is a crucial preprocessing step in machine learning, where categorical data is converted into a numerical….