Feature Engineering (Variable Characteristics) | Deployment of Machine Learning Models скачать в хорошем качестве

Feature Engineering (Variable Characteristics) | Deployment of Machine Learning Models

In this video, we’ll revisit the key feature engineering steps needed to prepare your data for model training and prediction. Learn how to handle: ⚠️ Missing values and outliers 🔠 Categorical variables and rare labels 📊 Skewed distributions and feature scaling You’ll see why proper data preprocessing is crucial for reliable, high-performing ML models and how different algorithms respond to these challenges. To master model deployment and MLOps, check out our courses at https://www.trainindata.com/courses. Link to presentations: https://www.trainindata.com/l/digital... #FeatureEngineering #DataPreprocessing #MachineLearning #DataScience #MLPipeline #DataCleaning #FeatureScaling #Outliers #CategoricalEncoding #PythonMachineLearning #ScikitLearn #AIEngineering #MLCourse #LearnMachineLearning #MLTutorial #machinelearningtutorial