PinnedHimanshu GaurRegularization in Machine LearningRegularization is an approach to address over-fitting model.4 min read·Nov 28, 2022----
Himanshu GaurNavigating the Shifting Seas of Data: Understanding and Adapting to Data DriftIn the realm of data analytics and machine learning, ensuring the accuracy and reliability of models is paramount. However, as data evolves…9 min read·Jun 28, 2023----
Himanshu GaurGetting Started with Transfer Learning: Techniques, Examples, and ResourcesTransfer learning is a powerful technique in machine learning that can help improve the performance of our models, reduce the amount of…7 min read·May 5, 2023----
Himanshu GaurConfusion Matrix in Data Science: Explanation, Python Code, and Best PracticesIn the field of data science, a confusion matrix is a table used to evaluate the performance of a classification model. It is also known as…5 min read·Apr 27, 2023----
Himanshu GaurUnderstanding Gradient Descent: The Optimization Algorithm for Machine LearningGradient descent is an optimization algorithm that is widely used in machine learning to minimize the cost function of a model. It is an…5 min read·Apr 23, 2023----
Himanshu GaurImportance of Folder Structure in ML/DL Projects: Breakdown and Explanation of Key ComponentsThe folder structure of a ML/DL project plays a crucial role in the success and maintainability of the project. It provides a clear and…4 min read·Apr 21, 2023----
Himanshu GaurFamous Convolutional Neural Networks with ArchitectureA convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing, due to its…4 min read·Nov 29, 2022----
Himanshu GaurConvolutional Neural NetworkA convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing, due to its…3 min read·Nov 29, 2022----
Himanshu GaurHypothesis Tests in Data ScienceIn Statistics, a Hypothesis Test is used to assess & understand the plausibility, or likelihood of some assumed viewpoint (a hypothesis) —…5 min read·Nov 29, 2022----
Himanshu GaurBias-Variance Tradeoff in Machine LearningIn Machine Learning, we never try to fit the data, but our objective is to find the unknown underlying pattern.4 min read·Nov 28, 2022----
