In this post, we will be discussing the basic steps in building a machine learning project. The process of building an ML project includes collecting the dataset, cleaning it, processing the data, training and testing of the model and deploying it. A...
In this post, we will be looking into any() and all() functions in Python. First, let us discuss the any() function. 👉 any() The any() function takes an iterable as an argument : any(iterable) . The iterable can be a list, tuple or dictionary. T...
As you may be knowing Logistic Regression is a Machine Learning algorithm. It is used for binary classification problems. We also have multiclass logistic regression, where we basically re-run the binary classification multiple times. It is a linear ...
So here we will be discussing briefly Bogosort and Bogobogosort, which are two inefficient algorithms. NOTE: These are just for educational purposes. Never use these in real-life applications. ☠☠Bogosort: Bogosort first checks whether the list i...
We have seen the basic operation of convolution in the previous post. Knowing Convolution Basics In this post, we will be discussing padding in Convolutional Neural Networks. Padding is the number of pixels that are added to an input image. Padding...
In this article, we are going to learn about the grayscale image, colour image and the process of convolution. Grayscale image A grayscale image where the image is represented as only the shades of grey. The intensity of the various pixels of the ima...