"APPLICATION DE MODÈLE D'APPRENTISSAGE SUPERVISÉ POUR LA REGRESSION : 🤔\n",
"It helps in establishing a relationship among the variables by estimating how one variable affects the other\n",
"\n",
"\n",
"REGRESSION IN MACHINE LEARNING\n",
"Regression in machine learning consists of mathematical methods that allow data scientists to predict a \n",
"continuous outcome (y) based on the value of one or more predictor variables (x). \n",
"Linear regression is probably the most popular form of regression analysis because of its ease-of-use \n",
"in predicting and forecasting.\n",
"\n",
"\n",
"To evaluate your predictions, there are two important metrics to be considered: variance and bias.\n",
"For a model to be ideal, it’s expected to have low variance, low bias and low error\n",
"\n",
"\n",
"Linear Regression:\n",
"Linear regression finds the linear relationship between the dependent variable and one or more independent variables using a best-fit straight line.\n",
"(In accordance with the number of input and output variables, linear regression is divided into three types: simple linear regression
regression-model's Introduction
regression-model's People
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