Published inAnalytics VidhyaA Crash Course on Hypothesis Testing — A Data Science ApproachHypothesis testing is a quintessential part of statistical inference in data science context.Dec 2, 2021Dec 2, 2021
A Crash Course on Estimation — A Data Science ApproachEstimation of the parameters of the population is the foundation of the statistical inference.Nov 23, 2021Nov 23, 2021
Published inCodeXVery Useful Python Recipes On Data StructureWe will talk about some of the common recipes in the data structure in Python.Nov 22, 2021Nov 22, 2021
Published inAnalytics VidhyaWhat is the Inductive Reasoning? — a Data Science ApproachInductive reasoning constitutes the basis for the data-driven decisions.Nov 4, 2021Nov 4, 2021
Published inCodeXHow to Build a Customised Transformation in PyTorch?Transformation is a quintessential part of every deep learning scheme.Jul 31, 2021Jul 31, 2021
Published inCodeXPython Design Pattern — Part I: Creational Design PatternCreational design patterns provide diverse object creation mechanisms, which boost flexibility and reuse of existing code.Jul 25, 2021Jul 25, 2021
Published inCodeXAutograd in PyTorch — How to Apply it on a Customised FunctionAutograd package in PyTorch enables us to implement the gradient effectively and in a friendly manner.Jul 12, 2021Jul 12, 2021
Published inCodeXTensor Basics in PyTorchTensors are the basic data structure of the PyTorch library.Jul 9, 2021Jul 9, 2021
Published inCodeXImportant Clustering Algorithms — with PythonClustering can be used for both knowledge discovery and augmenting the prediction models.Jul 5, 2021Jul 5, 2021
Published inAnalytics VidhyaPCA and How to Interpret it— with PythonPrinciple component analysis is used to reduce dimensionality and finding out the way that variables covary.Jul 2, 2021Jul 2, 2021
