MNIST For Machine Learning Beginners With Softmax Regression | DataScience+

This is a tutorial for beginners interested in learning about MNIST and Softmax regression using machine learning (ML) and TensorFlow. When we start learning programming, the first thing we learned to do was to print “Hello World.” It’s like Hello World, the entry point to programming, and MNIST, the starting point for machine learning. MNIST […]

Source : MNIST For Machine Learning Beginners With Softmax Regression | DataScience+

Building A Logistic Regression in Python, Step by Step | DataScience+

Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.). In other words, the logistic regression model predicts P(Y=1) as a […]

Source : Building A Logistic Regression in Python, Step by Step | DataScience+