Multiple Linear Regression in Python: Buginners Guide to Machine Learning скачать в хорошем качестве

Multiple Linear Regression in Python: Buginners Guide to Machine Learning

Welcome to this comprehensive multiple linear regression step-by-step tutorial with Python. In this video, you'll learn how to implement numerous independent variables using a linear regression model with the sci-kit-learn python library. Here are the topics you'll learn: Introduction to Multivariable Linear Regression. How to install sci-kit-learn How to import machine learning libraries How to create a synthetic dataset using Numpy How to visualize scatter plot to understand the relationship between dependent and independent variables How to split the dataset into train and test sets How to build the model and fit the model to the dataset How to make predictions and evaluate the model performance Conclusions and Recap Please don't forget to like, share, and subscribe, and if you have questions or suggestion leave them in the comment box under this video. Watch SImple linear Regression step-by-step with real world examples:    • Linear Regression in Python: Step By ...   ----------------------------------------------------------------------------------- 💰Donate to us at https://donorbox.org/donate-epythonlab Join this channel to get exclusive access: https://bit.ly/363MzLo ---------------------------------------------------------------------------------- Join the discussion groups: 💻 Telegram: https://epythonlab.t.me/ 💻 Facebook:   / epythonlab1   💻 Twitter:   / epythonlab1   ----------------------------------------------------------------------------------- COME AGAIN! -----------------------------------------------------------------------------------