Logistic Regression in Machine Learning | Scikit-Learn Tutorial with Python (Iris Dataset)
Logistic Regression is one of the most important supervised machine learning algorithms used for classification problems. In this video, you will learn how to build a Logistic Regression model using Python and Scikit-Learn with a real dataset.
We cover:
✔ What is Logistic Regression in Machine Learning
✔ Logistic Regression vs Linear Regression
✔ Train-Test Split in Scikit-Learn
✔ LogisticRegression class parameters (solver, C, regularization)
✔ Training and evaluating the model
✔ Accuracy calculation
✔ Prediction on new data
✔ Logistic Regression cost function (Negative Log-Likelihood)
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