Linear Regression with Multiple Features: Introduction to Multiple Linear Regression |Andrew Ng

Courses For You
Courses For You
319 بار بازدید - 7 ماه پیش - In this week's lesson, we
In this week's lesson, we delve into multiple linear regression, expanding our model to consider not just one, but several features when predicting outcomes, such as housing prices. Andrew Ng introduces new notation, using vectors and dot products to represent the model more succinctly. He illustrates how parameters like the size of the house, number of bedrooms, floors, and age can collectively contribute to predicting house prices. The key takeaway is the introduction of vectorization, a powerful technique that simplifies the implementation of multiple linear regression and other learning algorithms. Join Andrew Ng's free Coursera Machine Learning course to deepen your understanding of these concepts and enhance your machine learning skills.
Supervised Machine Learning: Regression and Classification: Supervised Machine Learning : Regress...

Advanced Learning Algorithms: Neural Networks:Advanced Learning Algorithms:Neural N...

🆂🆄🅱🆂🅲🆁🅸🅱🅴 & 🅻🅸🅺🅴

For additional exercise and study materials: http://www.opblog.in/
Subscribe:@coursesforyou7608
follow me: Facebook: OpBlogin-community-108961891908922
#courseera #LinearRegression #MultipleLinearRegression #MachineLearning #HousingPricePrediction #FeatureSelection #ModelInterpretation #Vectorization #LearningAlgorithms #AndrewNg #CourseraMachineLearning #FreeCourse #CoursesForYou
7 ماه پیش در تاریخ 1402/10/25 منتشر شده است.
319 بـار بازدید شده
... بیشتر