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Random Forest

Random forest Algorithm in Machine learning: An Overview

Introduction to Random Forest Algorithm In the field of data analytics, every algorithm has a price. But if we consider the overall scenario, then a maximum of the business problem has a classification task. It becomes quite difficult to intuitively know what to adopt considering the nature of the data. Random Forests have various applications […]

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Machine Learning

Beginner’s Guide to Machine Learning and Deep Learning in 2024

Introduction Learning is the acquisition and mastery of knowledge over a domain through experience. It is not only a human thing but appertains to machines too. The world of computing has transformed drastically from an ineffectual mechanical system into a Herculean automated technique with the advent of Artificial Intelligence. Data is the fuel that drives

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Linear Regression for Beginners

A Guide to Linear Regression in Machine Learning – 2024

What is Linear Regression? Linear Regression is the basic form of regression analysis. It assumes that there is a linear relationship between the dependent variable and the predictor(s). In regression, we try to calculate the best fit line, which describes the relationship between the predictors and predictive/dependent variables. There are four assumptions associated with a

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Top 25 Data Science Books in 2024- Learn Data Science Like an Expert

Data Science has emerged to become one of the most paid and highly reputed domains for professionals. As we see more and more companies adopting data science applications in their businesses, there is a surge in the requirement for skilled data science professionals. If you are considering moving in this domain, look into Great Learning’s

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What is Machine Learning

What is Machine Learning? Defination, Types, Applications, and more

Machine learning is a field of artificial intelligence that allows systems to learn and improve from experience without being explicitly programmed. It has become an increasingly popular topic in recent years due to the many practical applications it has in a variety of industries. In this blog, we will explore the basics of machine learning,

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clustering algorithms in Machine Learning

Clustering Algorithms in Machine Learning

Machine Learning problems deal with a great deal of data and depend heavily on the algorithms that are used to train the model. There are various approaches and algorithms to train a machine learning model based on the problem at hand. Supervised and unsupervised learning are the two most prominent of these approaches. An important

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What is TensorFlow? Installation, Basics, and more

Tensorflow is an open-source library for numerical computation and large-scale machine learning that ease Google Brain TensorFlow, acquiring data, training models, serving predictions, and refining future results. Tensorflow bundles together Machine Learning and Deep Learning models and algorithms. It uses Python as a convenient front-end and runs it efficiently in optimized C++. Tensorflow allows developers

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