by admin | Nov 21, 2020 | Machine Learning
Supervised Machine Learning: In Supervised learning, the machine is trained with the help of well-labeled training data, i.e., the data is tagged with the truthful answer. In other words, we can say that in supervised learning, a supervisor or a teacher is always...
by admin | Nov 21, 2020 | Machine Learning
Life Cycle of Machine Learning Following are the major steps that are involved in the machine learning life cycle: Data AcquisitionData PreparationHypothesis and ModellingEvaluation and InterpretationDeploymentOperationsOptimization Data Acquisition Data is one of the...
by admin | Nov 17, 2019 | Machine Learning
Introduction to Association Rule Learning Association rule learning extracts alliances among the datapoints in a huge dataset. It incorporates the concept of data mining, which helps in finding useful commercial associations or regularities between the variables. It...
by admin | Nov 12, 2019 | Machine Learning
Introduction to Hierarchical Clustering The other unsupervised learning-based algorithm used to assemble unlabeled samples based on some similarity is the Hierarchical Clustering. There are two types of hierarchical clustering algorithm: 1. Agglomerative Hierarchical...
by admin | Nov 7, 2019 | Machine Learning
Introduction to K-means clustering K-mean clustering comes under the unsupervised based learning, is a process of splitting an unlabeled dataset into the clusters based on some similarity patterns present in the data. Given a set of m nos. of the data item with some...
by admin | Nov 7, 2019 | Machine Learning
Introduction to Naïve Bayes Algorithm in Machine Learning The Naïve Bayes algorithm is a classification algorithm that is based on the Bayes Theorem, such that it assumes all the predictors are independent of each other. Basically, it is a probability-based machine...
by admin | Nov 1, 2019 | Machine Learning
Introduction to ML Clustering Algorithm Clustering falls under unsupervised learning methods. In this, the machine is provided with a set of unlabeled data, and the machine is required to extract the structure from the data from its own, without any external...
by admin | Nov 1, 2019 | Machine Learning
Introduction to ML Classification Algorithm The process of guessing a category or a class from a given set of observations is known as Classification. The output can be categorized into “Yes” or “No” or “Red” or “Black.”...
by admin | Oct 17, 2019 | Machine Learning
Introduction to Random Forest Random forest is an ensemble-based supervised learning model. The concept of random forest is used in both classifications as well as in the regression problems. Basically, in ensemble-based learning, multiple algorithms are combined to...
by admin | Oct 11, 2019 | Machine Learning
Introduction to Decision Trees Decision trees are one of the most powerful classification algorithm that falls under supervised learning-based algorithms. It is used as a tool for making predictions and can be incorporated in different fields. With the help of...
