In this blog, you will learn about why python is interpreted language, what are compilers and interpreters?, interpreted language, etc.

Binary cross-entropy is a loss function that is used in binary classification problems. The main aim of these tasks is to answer a question with….

Many times, you want your data to be saved in CSV format for future use. But working on some cloud platform such AWS, Azure and….

In general, binary classification problems, the tanh function is used for the hidden layer and the sigmoid function is used for the output layer.

In my previous article “Optimizers in Machine Learning and Deep Learning.” I gave a brief introduction about Adam optimizers. In this article, I will try

How can I fix this error it throws? ValueError: Found input variables with inconsistent numbers of samples:[143, 426] <pre class="ql-syntax" sp

CRISP – DM stands for Cross Industry Standard Process for Data Mining. The CRISP-DM methodology is practical, flexible and useful when solving business issues w

Hinge loss is another type of loss function which is an alternative of cross-entropy for binary classification problems.

Every industry is changing the way it operates as technology is evolving day by day. Healthcare is one of that industry which is witnessing the….

              1. Last month in Mumbai how many cups of tea were consumed?