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In this article we are going to create our own International Space Station(ISS) detector using Python and test it to see if it works
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
Neural Network is one of the fundamental concepts of Data Science Universe. In this article, we introduce you to Neural Network.
Image similarity is topic not talked about in the field of computer vision. In this article, let us understand Image similarity in Python
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
Regular Expressions are used in various tasks such as data pre-processing, pattern matching, etc. Learn what is a regular expression in NLP
Explore the components of a neural network and learn about neural network layers and neurons, including input, hidden, and output layers.
In this article we are going to look into Incremental and Reinforced learning for Image classification with python implementation
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