{"id":9412,"date":"2026-08-10T10:07:10","date_gmt":"2026-08-10T10:07:10","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-mastery-from-data-to-advanced-classifiers-2024-2\/"},"modified":"2026-08-10T10:07:10","modified_gmt":"2026-08-10T10:07:10","slug":"udemy-machine-learning-mastery-from-data-to-advanced-classifiers-2024-2","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-mastery-from-data-to-advanced-classifiers-2024-2\/","title":{"rendered":"Udemy \u2013 Machine Learning Mastery: From Data to Advanced Classifiers 2024-2"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Machine Learning Mastery: From Data to Advanced Classifiers. This comprehensive course will introduce you to the complete process of working with data and machine learning modeling. First, you will learn the basic concepts of data management, including importing, cleaning, and preparing data for analysis. Advanced data visualization techniques will help you extract valuable insights from data and identify complex relationships between variables through heat maps. The next stage of the course is dedicated to data preprocessing, where you will learn various methods such as handling missing values, scaling features, and encoding categorical variables. An important part of the course is to divide the data into training and test sets to ensure optimal model performance. In the modeling section, you will be introduced to a wide range of classifiers, including SVC, RandomForest, XGBoost, KNN, and LightGBM. Tuning the parameters of these models and evaluating their performance through ROC curves are other important topics in this section. Throughout the course, you will strengthen your skills by working on practical projects and using real data sets. Diverse exercises and rich educational resources will help you consolidate the acquired knowledge well.<\/span><\/p>\n

What you will learn:<\/span><\/h3>\n