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Category Archives: Machine Learning

When Regression is chosen? A regression problem is when the output variable is a real or continuous value, such as “salary” or “weight”. Many different models… Read More
It is one of the most important concepts of statistics, a crucial subject to learn Machine Learning.   Arithmetic Mean : It is the mathematical expectation… Read More
It is one of the most important concepts of statistics, a crucial subject to learn Machine Learning. Geometric Mean: Like arithmetic mean is the sum… Read More
In this article, we will learn how to expose ML/DL model as flask APIs. Frameworks we’ll be using: Keras is a Deep Learning library, built… Read More
Prerequisite: Support Vector Machines Definition of a hyperplane and SVM classifier: For a linearly separable dataset having n features (thereby needing n dimensions for representation),… Read More
Generative Adversarial Networks (GANs) are a powerful class of neural networks that are used for unsupervised learning. It was developed and introduced by Ian J.… Read More
Artificial Intelligence is the study of building agents that act rationally. Most of the time, these agents perform some kind of search algorithm in the… Read More
Monte Carlo Tree Search (MCTS) is a search technique in the field of Artificial Intelligence (AI). It is a probabilistic and heuristic driven search algorithm… Read More
An outlier is an object that deviates significantly from the rest of the objects. They can be caused by measurement or execution error. The analysis… Read More
Naive Bayes Classifier Algorithm is a family of probabilistic algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence between every pair… Read More
Machine Comprehension is a very interesting but challenging task in both Natural Language Processing (NLP) and artificial intelligence (AI) research. There are several approaches to… Read More
Prerequisite: ML | Linear Regression Linear regression is a supervised learning algorithm used for computing linear relationships between input (X) and output (Y). The steps… Read More
Prerequisite: Classification and Regression the Classification and Regression are two major prediction problems that are usually dealt with in Data mining and machine learning.  Classification is the… Read More
TextBlob module is used for building programs for text analysis. One of the more powerful aspects of the TextBlob module is the Part of Speech… Read More
Lemmatization is the process of grouping together the different inflected forms of a word so they can be analyzed as a single item. Lemmatization is… Read More

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