k-Nearest Neighbors (k-NN)
k-Nearest Neighbors (k-NN) Algorithm in Machine Learning 1. Introduction to k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) is a supervised learning algorithm used for classification and regression tasks. It is a….
Tag: Anomaly Detection
Support Vector Machines (SVM)
Support Vector Machines (SVM) in Machine Learning 1. Introduction to Support Vector Machines (SVM) Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression problems. SVM….
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….
Dimensionality Reduction Techniques
Dimensionality Reduction Techniques: A Comprehensive Guide Introduction Dimensionality reduction is a critical step in data preprocessing that helps improve the efficiency and performance of machine learning models by reducing the….
Identifying Data Trends and Patterns
Identifying Data Trends and Patterns: A Comprehensive Guide Introduction Identifying data trends and patterns is a crucial part of Exploratory Data Analysis (EDA) and plays a vital role in data….
Imbalanced Data Handling
Handling Imbalanced Data in Machine Learning Introduction Imbalanced data occurs when the distribution of classes in a dataset is highly skewed, meaning one class has significantly more samples than the….
Outlier Detection and Treatment
Outlier Detection and Treatment: A Comprehensive Guide Outliers are data points that significantly deviate from the rest of the dataset. They can arise due to various reasons such as errors….
Developing AI-powered predictive analytics solutions
Developing AI-Powered Predictive Analytics Solutions Predictive analytics leverages AI and machine learning (ML) to analyze historical data, identify patterns, and forecast future trends. AI-powered predictive analytics solutions help businesses make….
Power BI and AI Capabilities
Power BI and AI Capabilities – A Comprehensive Guide Introduction to AI in Power BI Power BI integrates powerful artificial intelligence (AI) capabilities that allow users to extract insights from….