Data preparation or processing is one of the most important steps when working with real-world data on a machine learning project. One of the major pains in such situations is working with categorical data. This is because most of the machine learning algorithms cannot work with categorical data directly. They are needed to be converted […] ...

Updated on April 19, 2020. The MNIST handwrttien digit data set has become the go-to guide for anyone starting out with classification in machine learning. But it is not only for students and learners. Even researchers who come up with any new classification technique also try to test it on this data. So, in this article, […] ...

In this post, we discuss the different types of activation functions in neural networks and deep learning. ...

This post is a beginner's guide to TensorFlow showing the basic principle, and computation graph in TensorFlow. ...

In my previous article, Challenges in Machine Learning Project, I just touched upon the points of overfitting and underfitting. In this post, I am going to give a bit more in-depth view of the two. And if you are interested in Machine Learning, then you will surely enjoy this article about overfitting and underfitting. Overfitting […] ...