Follow AI & Data Sciences Religiously
Upvote 1+ In this article, I will do a complete analysis of the gradient descent algorithm. Gradient Descent is an optimization algorithm worked for reducing the loss function in multiple machine learning algorithms. I discussed...
Upvote 4+ We all know data science has been stood no. 1 for being the most assuring job of the time. So, we are willing to learn Data Science. You must be aware of...
Upvote 5+ In the real world, there will be immeasurable data that we will work on so, normal machine learning algorithms won’t suffice well. If we are developing an uncountable amount of data then...
Upvote 3+ One of the major problems that we face in machine learning is Overfitting. This problem tends to reduce the performance of our model. Overfitting occurs when our machine learning model learns noise...
Upvote 12+ Let’s dive in and see what is the road map to learn machine learning in this article. In 2021 use of Machine learning will increase more because of these pandemic situations everything...
Upvote 7+ In this article, we are going to explain these assumptions in depth. We will also discuss the techniques to check these assumptions for the given data. Most people build logistic regression models...
Upvote 21+ The main aim of this article is to learn how to make an end-to-end project with any of your machine learning problems. About the Project This is a complete machine learning project...
Upvote 3+ This article will be an introduction to Natural Language Processing and it will explain its Regular expressions & Pre Text Processing techniques. What is NLP? The art of extracting out all of...
Upvote 7+ You always have to validate your machine learning model. In machine learning, you cannot just fit the model on the training data and say it will work for real-world data too. You...
Upvote 5+ This matrix is really confusing or just to assist us in removing our confusion. We will deep dive into this article. What is the confusion matrix? Most of us have heard the...
