Confusion Matrix In Machine Learning | Confusion Matrix Explained With Example | Simplilearn
A Confusion Matrix is an excellent metric to describe the performance of a classification model. This video on Confusion Matrix with Machine Learning will help you learn the basics of machine learning and the need for a confusion matrix. You will understand how to create a confusion matrix and how to create a confusion matrix. You will get an idea about the different metrics and perform a demo using logistic regression to find the model's accuracy. 1. Intro to Machine Learning 2. Type of Machine learning 3. Need for Confusion Matrix 4. What is Confusion Matrix 5. Creating a Confusion Matrix 6. Comparing Confusion matrix 7. 3x3 Confusion Matrix About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all peopleu2019s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems ud83dudc49Learn more at: https://bit.ly/3fouyY0
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