AdaBoost is a short form for “Adaptive Boosting” which is the first practical boosting algorithm proposed by Freund and Schapire in 1996. It focuses on classification problems and aims to convert a group of weak classifiers into a robust one. The ...
The use of randomness is an important part of the configuration and evaluation in Python and its application. In this article, we will discover how to generate and work with random numbers in Python. Especially machine learning algorithms (Python is ...
Chess is a strategy game played by two players on a board which is very popular worldwide. It has 64 squares arranged in an 8×8 square grid with the concept of winning the space by two kings with his whole ...
Introduction Clustering or cluster analysis is an unsupervised learning problem. It is often used as a knowledge analysis technique for locating interesting patterns in data, like groups of consumers supported their behaviour. There are many clustering algorithms to settle on ...
Math helps in understanding logical reasoning and attention to detail. It enhances your abilities to think under pressure and increase your mental endurance. Mathematical concepts give the real solution of hypothetical or virtual problems. It is about structure, developing principles ...
Introduction Chicken and egg problems are major headaches for several entrepreneurs. Many machine learning (ML) problems affect an identical dilemma. If we all know A, we will determine B. Or, if we all know B, we will determine A. Either ...
Stacking is an ensemble machine learning technique that allows combining different prediction models to make a single model that make the final prediction out of the provided dataset. Sometimes these combined models can be same depending up to the type ...
Scikit-learn is probably the most useful library for machine learning in Python. The sklearn library contains a lot of efficient tools for machine learning and statistical modelling including classification, regression, clustering, model selection, preprocessing and dimensionality reduction. The predefined modules ...
Introduction From predicting winners in an election such as exit polls to building recommendation systems, Data Science plays a vital role in every industry. We know that there is a vast advancement in technology these days with the growth of ...
What comes in your mind when you hear the word Facebook? Friends, Entertainment, Chats, that’s all we commonly think of, when we use Facebook. Facebook is one big hub of people from different age groups and country. According to a ...
