Tag: Classification
Running ML on raw, unprocessed data
Running machine learning (ML) on raw, unprocessed data is a critical yet intricate process that forms the backbone of any successful ML project. This comprehensive guide delves into each step….
Ignoring community modules’ security risks
Ignoring Community Modules’ Security Risks: Understanding the Importance of Secure IaC Practices Introduction Infrastructure as Code (IaC) is one of the cornerstones of modern DevOps practices, enabling teams to automate….
Running conflicting IaC deployments
Running Conflicting IaC Deployments: Understanding the Challenges and Best Practices Introduction Infrastructure as Code (IaC) has become the foundation for modern DevOps practices, allowing teams to define, provision, and manage….
Implementing Logistic Regression
Logistic Regression is a supervised learning algorithm used for binary classification problems (e.g., spam detection, fraud detection). It predicts probabilities using the sigmoid function and maps outputs to either 0….
Working with Scikit-learn
Scikit-learn (often abbreviated as sklearn) is one of the most popular machine learning libraries in Python. It provides simple and efficient tools for data analysis and modeling, including classification, regression,….
Introduction to Neural Networks
Introduction to Neural Networks: Detailed Explanation A Neural Network (NN) is a computational model inspired by the way biological neural networks in the human brain process information. It is a….
Gradient Boosting (XGBoost, LightGBM, CatBoost)
Gradient Boosting (XGBoost, LightGBM, CatBoost) in Machine Learning 1. Introduction to Gradient Boosting Gradient Boosting is a powerful ensemble learning technique used in machine learning for classification and regression tasks…..
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….
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….