A step by step guide. Logistic Regression was used in the biological sciences in early twentieth century. It was then used in many social science applications.
Regression has been an integral part of statistics and is used to predict the temperature, humidity and many of the daily use information. The term “regression” was coined by Francis Galton in the nineteenth century to describe a biological phenomenon. The phenomenon was that the heights of descendants of tall ancestors tend to regress down towards a normal average (a phenomenon is also known as regression toward the mean) For Galton, regression had only this biological meaning but his work was later extended by Udny Yule and Karl Pearson to a more general statistical context.
Logistic Regression is a. branch of regression which gives a binary output (0,1).In other words, the logistic regression model predicts P(Y=1) as a function of X.
Logistic Regression Assumptions
How To Plot A Decision Boundary For Machine Learning Algorithms in Python, you will discover how to plot a decision surface for a classification machine learning algorithm.
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In this video we will setup python for machine learning. We will install the python interpreter and the pycharm ide to write our code.
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