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, you will know what is object detection, and basics of object detection, why is it used, using what metrics we can measure the performance of the object detection algorithm....
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 2+ Looking for an effective platform to deploy your machine learning models. Are you stuck with exploring Cloud API? Here is the easy and efficient way to store and run your applications by...
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 7+ This article gives us a brief introduction and implementation of applying OpenCV techniques on images using Python. OpenCV is a well known open-source computer vision and machine learning library. It was officially...
