{"id":3614,"date":"2026-08-10T09:06:27","date_gmt":"2026-08-10T09:06:27","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-mastering-machine-learning-algorithms-using-python-2024-4\/"},"modified":"2026-08-10T09:06:27","modified_gmt":"2026-08-10T09:06:27","slug":"udemy-mastering-machine-learning-algorithms-using-python-2024-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-mastering-machine-learning-algorithms-using-python-2024-4\/","title":{"rendered":"Udemy \u2013 Mastering Machine Learning Algorithms using Python 2024-4"},"content":{"rendered":"
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Description<\/h2>\n

Mastering Machine Learning Algorithms using Python course. Do you dream of becoming a machine learning engineer or data scientist? If yes, then this course is for you. In this course, with the key concepts of machine learning, use cases, role of data, challenges of bias, variance and overfitting, selection of appropriate performance criteria, model evaluation techniques, model optimization using hyperparameter tuning and validation with grid search. (Grid Search Cross Validation) and so on. You will learn how to build classification models using different algorithms, regression models and clustering models. You will learn scenarios and use cases for deploying machine learning models. This course covers Python for data science and machine learning in detail and is absolutely essential for Python beginners. Much of the course is hands-on, guiding you through exploratory data analysis, model development, model optimization, and model evaluation techniques through fully-solved projects and examples. This course makes extensive use of the Numpy and Pandas libraries to teach exploratory data analysis. In addition, it covers the Matplotlib and Seaborn libraries for visualization. Also included is an introductory lesson on Deep Neural Networks with a solved example on image classification using TensorFlow and Keras.<\/span><\/p>\n

What you will learn in the course<\/span><\/strong><\/h3>\n