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Forward propagation is the first step of training a neural network. In this article, learn about the errors and forward propagation
In this article, we are going to see what is SVM and how SVM works and the different kernel functions used by the algorithm to predict
Logistic Regression is a mathematical model used in statistics to estimate the probability of an event occurring using some previous data
Axioms of probability is one of the fundamental concepts of probability. In this article we understand the 3 axioms of probability in detail
Gradient descent is a first-order iterative optimization algorithm. In this article, learn how does gradient descent work and optimize model
Cost function gives the lowest MSE which is the sum of the squared differences between the prediction and true value for Linear Regression
Learn how Binary Cross Entropy (Log Loss) functions in binary classification tasks in machine learning. Understand its formula, application, and role in optimizing classification models
Perceptron is one of the most fundamental concepts of deep learning. It is a supervised learning algorithm specifically for binary classifiers
Geospatial Analysis offers better customer services in a cost-effective manner to business organizations. Learn what is geospatial analysis
Dual axis charts in Tableau are most desirable and useful. In this article, learn how to create a dual axis chart in tableau.
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