Swapnil KangralkarModel Compression using Knowledge DistillationMake your models leaner and meanerNov 29, 2023Nov 29, 2023
Swapnil KangralkarLoss Functions in Machine LearningExploring the most common loss functions in machine learningJun 26, 2023Jun 26, 2023
Swapnil KangralkarTaming the Tides of Drift in Machine LearningTypes of model drift in machine learning and ways to measure and monitor them.Jun 26, 2023Jun 26, 2023
Swapnil KangralkarUnlock the Power of AI: A Comprehensive Guide to Integrating OpenAI’s ChatGPT API in Jupyter…Transform the way you communicate with AI using OpenAI’s ChatGPT API in Jupyter Notebook.Feb 1, 2023Feb 1, 2023
Swapnil KangralkarDocker and MLOps: A Match Made in Tech HeavenUnleashing the Power of Docker for MLOps to Streamline Machine Learning DeploymentDec 24, 2022Dec 24, 2022
Swapnil KangralkarGit, GitHub and Beyond: A Beginner’s Guide to Mastering Version ControlList of basic git commands to clone and push repositoriesDec 10, 2022Dec 10, 2022
Swapnil KangralkarK-Means Simplified: A Beginner’s Guide to the K-Means AlgorithmA step-by-step approach to learning one of the simplest unsupervised clustering algorithmsJun 10, 2022Jun 10, 2022
Swapnil KangralkarinTowards Data ScienceSupport Vector Machines (SVM) and the Multi-Dimensional WizardryLearn the magic behind the kernel functions in SVMsMay 19, 2022May 19, 2022
Swapnil KangralkarStatistics and its MisapplicationsHow misapplication of statistical techniques leads to incorrect conclusions.Apr 30, 2022Apr 30, 2022
Swapnil KangralkarinTowards Data ScienceFeature Engineering — Unraveling the Mysterywhat is feature engineering, the problem it solves, and why it really mattersApr 28, 2022Apr 28, 2022
