Seshu Kumar VungaralaStochastic gradient descent vs Gradient descent — Exploring the differencesIn the world of machine learning and optimization, gradient descent and stochastic gradient descent are two of the most popular algorithms…May 23, 20231May 23, 20231
Seshu Kumar VungaralaElastic Net Regression: The Perfect Blend for Optimal PredictionsIn the world of data science, making accurate predictions is crucial for success. One powerful method for achieving this is using Elastic…May 7, 2023May 7, 2023
Seshu Kumar VungaralaLasso and Ridge Regression — Regularization Techniques Explained for BeginnersIntroductionMay 6, 2023May 6, 2023
Seshu Kumar VungaralaUncovering Hidden Biases: The Challenges of Imbalance ClassificationIn today’s data-driven world, machine learning algorithms are increasingly being used to make important decisions that impact our lives…May 3, 2023May 3, 2023
Seshu Kumar VungaralaText Vectorization — Transforming Words into Numbers!IntroductionApr 30, 2023Apr 30, 2023
Seshu Kumar VungaralaData Synthesis — Protect your sensitive data!Do you know that Under the General Data Protection Regulation (GDPR), the use of healthcare data for analysis is subject to strict rules…Apr 30, 2023Apr 30, 2023
Seshu Kumar VungaralaImage Recognition — How neural network identifies?Image recognition is a fundamental problem in computer vision, and neural networks have proven to be a powerful tool for solving this…Apr 30, 2023Apr 30, 2023
Seshu Kumar VungaralaDimension Reduction — Don’t get lost in the data!!What is Dimension Reduction?Apr 30, 2023Apr 30, 2023
Seshu Kumar VungaralaTransfer Learning — Save your time and resources!!Intro: What is Transfer Learning?Apr 30, 2023Apr 30, 2023
