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Category Archives: Machine Learning

Linear Regression is a very commonly used statistical method that allows us to determine and study the relationship between two continuous variables. The various properties… Read More
Artificial Intelligence and Machine Learning are the terms of computer science. This article discusses some points on the basis of which we can differentiate between… Read More
Prerequisite: K nearest neighbors   Introduction Say we are given a data set of items, each having numerically valued features (like Height, Weight, Age, etc). If… Read More
It is recommended to understand what is a neural network before reading this article. In The process of building a neural network, one of the… Read More
Artificial intelligence is defined as the study of rational agents. A rational agent could be anything that makes decisions, as a person, firm, machine, or… Read More
Prerequisite : Introduction to Artificial Neural Network This article provides the outline for understanding the Artificial Neural Network. Characteristics of Artificial Neural Network It is… Read More
ANN learning is robust to errors in the training data and has been successfully applied for learning real-valued, discrete-valued, and vector-valued functions containing problems such… Read More
The introduction to clustering is discussed in this article and is advised to be understood first.  The clustering Algorithms are of many types. The following… Read More
Introduction to Clustering  It is basically a type of unsupervised learning method. An unsupervised learning method is a method in which we draw references from… Read More
This article demonstrates an illustration of K-means clustering on a sample random data using open-cv library. Pre-requisites: Numpy, OpenCV, matplot-lib Let’s first visualize test data… Read More
Reinforcement Learning : Reinforcement Learning is a type of Machine Learning. It allows machines and software agents to automatically determine the ideal behavior within a… Read More
The article is about creating an Image classifier for identifying cat-vs-dogs using TFLearn in Python. The problem is here hosted on kaggle.  Machine Learning is… Read More
Decision tree algorithm falls under the category of supervised learning. They can be used to solve both regression and classification problems. Decision tree uses the… Read More
Hill Climbing is a heuristic search used for mathematical optimization problems in the field of Artificial Intelligence. Given a large set of inputs and a good… Read More
This article will introduce you to graphing in Python with Seaborn, which is the most popular statistical visualization library in Python. Installation: The easiest way… Read More

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