An Introduction to Reinforcement Learning
Upvote 2+ To train the machines and make them capable of making certain decisions the field of reinforcement learning is required. It is the sub-domain of Machine Learning that helps in the automation of...
Tagged: Tutorial
10 Amazing Python Hacks (PART-2)
Upvote 16+ The main purpose of this article is to learn(or automate) a few basic things with the help of python. Python is fun when it comes to automating the boring stuff. It enables...
Backpropagation Detailed Explanation
Upvote 7+ This paper describes the working of Backpropagation and its importance and is much faster than several neural networks. Using Backpropagation, we can use neural nets to solve the previously unsolvable problems. Backpropagation...
10 Amazing Python Hacks with Cool Libraries
Upvote 22+ Python is known for its wide number of predefined libraries, which saves much of our time. In this article, we will learn some amazing python hacks with some rare yet cool libraries....
Complete Analysis of Gradient Descent Algorithm
Upvote 2+ 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...
Building a Chatbot in Python
Upvote 10+ Have you ever thought of building your chatbot? If you have, then this project is going to be your first step in the innovative field of chatbots. A chatbot is a software...
Understanding XG Boost- A Basic Overview
Upvote 7+ 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...
Explaining Lasso and Ridge Regression
Upvote 4+ 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...
Object Detection Basics and Performance Metrics
Upvote 9+ 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....
Assumptions of Logistic Regression
Upvote 9+ 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...
