Gorijala VyshnaviCross Validation and Evaluation Metrics in Machine LearningCreating a predictive model is only one step in the machine-learning process. The capacity to assess the model’s performance and guarantee…Jul 1Jul 1
Gorijala VyshnaviUnderstanding Model Complexity, Model Selection, Overfitting, and Underfitting in Machine LearningIn the field of machine learning, developing models with precise prediction capabilities requires careful consideration of a number of…Jul 1Jul 1
Gorijala VyshnaviA Comprehensive Guide to Linear Regression: From Fundamentals to Advanced TechniquesLinear Regression stands as a cornerstone in the realm of machine learning and statistical modeling. It is a solid starting point for…Jul 1Jul 1
Gorijala VyshnaviDecision Trees:The foundation of machine learning, decision trees provide a reliable and understandable method for performing regression and…Jul 1Jul 1
Gorijala VyshnaviNaive Bayes ClassifierNaive Bayes is a classification algorithm based on Bayes’ Theorem, which applies a simplifying (naive) assumption that features are…Jul 1Jul 1
Gorijala VyshnaviKNN AlgorithmIn machine learning, K-Nearest Neighbors (KNN) is a straightforward, understandable, and adaptable approach that can be applied to both…Jul 1Jul 1
Gorijala VyshnaviUnderstanding of Artificial Intelligence (AI)Artificial intelligence (AI) is the ability of computers and other technologies to do tasks like thinking, solving problems, and making…Jul 1Jul 1
