Data Science 🐍 Regression

The video tutorial covers various regression models, starting with linear regression using Numpy and stats models, followed by polynomial and nonlinear regression techniques. It introduces machine learning models like K nearest neighbors and support vector regressors using Scikit-learn. The tutorial also explores deep learning with Gecko and neural networks. A hands-on activity with TCC lab demonstrates practical regression analysis.

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