Posts from Machine Learning

By Aparna Srivastava | November 4, 2019

In the present era, OpenCV becomes a very strong tool for machine learning with the help of computer vision this become easier. In this tutorial, we will learn Face Recognition from video in Python using OpenCV. So How can we Recognize the face from video in Python using OpenCV we will learn in this Tutorial. […] Read More

By Prakhar Gupta

In this post, you will get a general idea of gradient boosting machine learning algorithm and how it works with scikit-learn. The term ‘Boosting‘ refers to a group of a.... Read More

By Nikita Pande

In this tutorial, you will create a neural network model that can detect the handwritten digit from an image in Python using sklearn. A neural network consists of three types of la.... Read More

By Arijit Roychaudhury

Well if you are an ML enthusiast then you know that what the value of train-test-split in training a model. So, I will tell in brief about the method train-test-split. In this meth.... Read More

By Sai Ram

Hey guys, today in another data science post we will talk about hierarchical clustering. Let’s have a simple definition of clustering first.  Clustering uses techniques that.... Read More

By Nilesh and Sapna | October 18, 2019

Loss functions are a crucial part of the machine learning pipeline but knowing which one to use in the artificial neural network could be kind of confusing. In this tutorial, there will be explained the working of loss functions and how to use them. They are easy to understand and how much it is useful […] Read More

By Arijit Roychaudhury

Now, we will discuss some new optimization techniques that are effective in reducing loss function of our model. The two effective optimization functions are Adaptive Gradient Desc.... Read More

By Kunal Gupta

Hello everyone, In this tutorial, we’ll be learning about Natural Language Toolkit(NLTK) which is the most popular, open-source and a complete Python library for Natural Lang.... Read More