Machine Learning – Supervised Learning – Understanding Different Evaluation Models

Machine Learning – Supervised Learning – Understanding Different Evaluation Models

Hello! In this video, we’ll look at understanding different evaluation models The previous evaluation models were geared towards classification. Now, we’ll talk more about the model evaluation metrics that are used for regression. Evaluation metrics provide a key role in the development of a model, as it provides insight to areas that require improvement. There […]

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Machine Learning – Supervised Learning Regression Algorithms

Machine Learning – Supervised Learning Regression Algorithms

Hello! In this video, we’ll be covering Regression Algorithms Regression originated from Statistical Modelling. And since Machine learning is a much newer concept, it has adopted Regression analysis. Regression outputs a response that is ordered and continuous. The output consists of one or more continuous variables There are many different types of regression. The most […]

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How Artificial Neural Network (ANN) Algorithm Work | Data Mining | Introduction to Neural Network

How Artificial Neural Network (ANN) Algorithm Work | Data Mining | Introduction to Neural Network

let’s understand harder the neural network model work for this we are going to understand backward propagation algorithm and in this process we are going to understand several terms like case updating batch updating hard weight and bias updates and then intuitive understanding of why it works then we are going to understand the stopping […]

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Machine Learning – Supervised Learning – Advantages & Disadvantages of Decision Trees

Machine Learning – Supervised Learning – Advantages & Disadvantages of Decision Trees

Hello! In this video, we’ll be covering the advantages and disadvantages of Decision Trees Let’s begin by examining the advantages and disadvantages of using a decision tree? The first main advantageof using a decision tree is that it’s easy to understand and, as such, requires little data preparation. A decision tree also runs in logarithmic […]

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