PinnedRegularization in Machine LearningRegularization is an approach to address over-fitting model.Nov 28, 2022Nov 28, 2022
Navigating 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…Jun 28, 2023Jun 28, 2023
Getting 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…May 5, 2023May 5, 2023
Confusion 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…Apr 27, 2023Apr 27, 2023
Understanding 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…Apr 23, 2023Apr 23, 2023
Importance 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…Apr 21, 2023Apr 21, 2023
Famous 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…Nov 29, 2022Nov 29, 2022
Convolutional Neural NetworkA convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing, due to its…Nov 29, 2022Nov 29, 2022
Hypothesis Tests in Data ScienceIn Statistics, a Hypothesis Test is used to assess & understand the plausibility, or likelihood of some assumed viewpoint (a hypothesis) —…Nov 29, 2022Nov 29, 2022
Bias-Variance Tradeoff in Machine LearningIn Machine Learning, we never try to fit the data, but our objective is to find the unknown underlying pattern.Nov 28, 2022Nov 28, 2022
