Overview Today’s post recaps all the important lines of code that are crucial for the rest of this chapter. This includes the necessary imports, data preparation, data splitting for training, validation, and testing, separating the target variable ‘churn’, training the logistic regression model, and finally, validating the model on the validation data and outputting theContinue reading “ML Zoomcamp 2023 – Evaluation metrics for classification– Part 1”
Tag Archives: Logistic Regression
ML Zoomcamp 2023 – Machine Learning for Classification– Part 10
Training logistic regression with Scikit-Learn Train a model with Scikit-Learn When you want to train a logistic regression model, the process is quite similar to training a linear regression model. You can use the ‘coef_’ attribute to display the weights (coefficients) in a logistic regression model. The ‘coef_’ attribute in logistic regression returns a 2-dimensionalContinue reading “ML Zoomcamp 2023 – Machine Learning for Classification– Part 10”
ML Zoomcamp 2023 – Machine Learning for Classification– Part 9
Logistic Regression As mentioned earlier, classification problems can be categorized into binary problems and multi-class problems. Binary problems are the types of problems that logistic regression is typically used to solve. In binary classification, the target variable yiyi belongs to one of two classes: 0 or 1. These classes are often referred to as “negative”Continue reading “ML Zoomcamp 2023 – Machine Learning for Classification– Part 9”
knowMLedge.com 