Machine Learning Tutorial Python: Linear Regression & Gradient Descent and Cost Function

In this tutorial, we will predict home prices using linear regression. We use training data that has home areas in square feet and corresponding prices and train a linear regression model using sklearn linear regression class. Later on, predict method is used on linear regression objects to make actual forecasts. Also, we are covering few important concepts in machine learning such as cost function, gradient descent, learning rate and mean squared error. We will use the home price prediction use case to understand gradient descent. After going over the math behind these concepts, we will write python code to implement gradient descent for linear regression in python. #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #LinearRegression #sklearntutorials #scikitlearntutorials

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