PinnedLDA(Linear Discriminant Analysis) in depth explanation with math.Difference between PCA vs LDAApr 13, 2023Apr 13, 2023
Understanding Fast RCNN completelyDeep Convolution networks have significantly improved image classification and object detection accuracy. Compared to image classification…May 2, 20233May 2, 20233
Hypothesis Testing — everything you need to know about Hypothesis Testing.Definition: The Hypothesis Testing is a statistical test used to determine whether the hypothesis assumed for the sample of data stands…Apr 23, 2021Apr 23, 2021
Basic Statistics One NEED to Know for Data ScienceThe purpose of this is to provide a comprehensive overview of the fundamentals of statistics that you’ll need to start your data science…Feb 1, 2021Feb 1, 2021
How Gradient Descent used in solving Linear Regression.Understanding Gradient DescentOct 22, 2020Oct 22, 2020
L1 AND L2 RegularizationA lot of people usually get confused which regularization technique is better to avoid overfitting while training a machine learning model.Oct 22, 2020Oct 22, 2020