PinnedPublished inGadictosNeural Network: A Complete Beginners Guide from ScratchNeural Network has become a crucial part of modern technology. It has influenced our daily life in a way that we have never imagined. From…Mar 10, 20233Mar 10, 20233
PinnedPublished inGadictosLogistic Regression: A Detailed Overview from ScratchLogistic regression is one of the most commonly used algorithms for machine learning and is a building block for neural networks.Jun 14, 2021Jun 14, 2021
Published inGadictosDescriptive Statistics: A Brief IntroductionDescriptive and summary statistics associated with histogram, boxplot, and scatter plot are covered briefly.May 8, 2021May 8, 2021
Published inGadictosOutlier Detection: A Comprehensive overview of different methodsMathematical and statistical background of Various outlier detection methods with a detailed comparison between the use casesMay 8, 20211May 8, 20211
Published inGadictosOptimization Algorithms Around the WorldKey concepts and mathematical foundations behind the popular optimization algorithmsMay 8, 2021May 8, 2021
Published inGadictosOverfitting and Regularization in Machine LearningWhy regularization is used in machine learning and how it reduces overfitting balancing bias-varianceMay 8, 2021May 8, 2021
Published inGadictosLinear Classifiers: An Introduction to ClassificationLinear Classifiers are one of the most commonly used classifiers and Logistic Regression is one of the most commonly used linear…Aug 15, 2019Aug 15, 2019
Published inGadictosMultiple Regression from Scratch in PythonPreviously, we have discussed briefly the simple linear regression. Here we will discuss multiple regression or multivariable regression…Jul 20, 2019Jul 20, 2019
Published inGadictosSimple Linear Regression: An Introduction to Regression from scratchRegression is a very fundamental concept in statistics, machine learning and in Neural Network. Imagine plotting the correlation between…Jul 13, 2019Jul 13, 2019
Published inGadictosBias-Variance Tradeoff: A Comprehensive Graphical RepresentationTo build an accurate machine learning model we need to have a proper understanding of the error. In forming predictions of a model there…Jun 18, 20191Jun 18, 20191
