Day 12: Logistic Regression Implementation | Outliers, Scaling, Encoding & Model Building

🚀 *Day 12 — Logistic Regression Implementation | Part 2* In this video, we continue our *Logistic Regression project* and prepare the data for model building. 📌 *Topics Covered:* Handling Outliers Feature Scaling Encoding Categorical Variables Preparing Features and Target Model Building using Logistic Regression Training the Model From **raw data → preprocessing → Logistic Regression model**. 📚 Follow the *Learn Machine Learning Everyday* series to learn Machine Learning step-by-step with practical projects. #MachineLearning #LogisticRegression #DataScience #EDA #FeatureScaling #Encoding #MLProject #LearnMachineLearning