Asad Ashraf KarelinArtificial Intelligence in Plain EnglishWhat is a Support Vector Machine?In machine learning algorithms SVMs (Support Vector Machines) are the most advanced algorithms and more specifically for classification to…Apr 30, 2021Apr 30, 2021
Asad Ashraf KarelinNerd For TechBoosting in Machine LearningBoosting is an ensemble machine learning technique used to make a stronger classifier by using multiple weak classifiers. The first model…Mar 9, 2021Mar 9, 2021
Asad Ashraf KarelinNerd For TechEnsemble LearningThis is a technique of machine learning to deal with complicated data, if simple machine learning algorithms are not capable to give…Mar 7, 2021Mar 7, 2021
Asad Ashraf KarelinNerd For TechNaïve Bayes method in Supervised Linear Classification:Naïve Bayes is one the most effective and useful Machine Learning algorithms to make quite predictions with the classification purpose. It…Feb 22, 2021Feb 22, 2021
Asad Ashraf KarelinNerd For TechBootstrap Aggregating and Random Forest ModelBootstrap Aggregating is also called Bagging. It is a machine learning ensemble meta-algorithm, which is designed to improve the accuracy…Feb 19, 2021Feb 19, 2021
Asad Ashraf KarelinArtificial Intelligence in Plain EnglishDecision Tree for ClassificationA Decision Tree is a non-parametric Supervised Learning method. It makes the different subsets of the data; the splitting seems exactly…Feb 19, 2021Feb 19, 2021
Asad Ashraf KarelinNerd For TechLogistic Regression:— — — — — — — — — — — — — — — — — — — — -Feb 19, 2021Feb 19, 2021
Asad Ashraf KarelinNerd For TechConfusion MatrixThis is the fundamental structure of the statistical matrix. If actual does not match with the predicted we call it as Type-I and Type-II…Feb 8, 20211Feb 8, 20211
Asad Ashraf KarelALL_IMPORTANT_LIBRARIESStatistics and Machine Learning (Simple Linear Regression)Jan 26, 2021Jan 26, 2021
Asad Ashraf KarelinNerd For TechDISCUSSION ON KURTOSIS:According to some research, Kurtosis is the ‘peakedness’ of the distribution or we can say the measure of tailness of the distribution. We…Dec 30, 20201Dec 30, 20201
