{"id":14184,"date":"2026-08-10T11:10:12","date_gmt":"2026-08-10T11:10:12","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-with-python-complete-course-projects-2024-8\/"},"modified":"2026-08-10T11:10:12","modified_gmt":"2026-08-10T11:10:12","slug":"udemy-machine-learning-with-python-complete-course-projects-2024-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-machine-learning-with-python-complete-course-projects-2024-8\/","title":{"rendered":"Udemy \u2013 Machine Learning with Python \u2013 Complete Course & Projects 2024-8"},"content":{"rendered":"
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Description<\/h2>\n

Machine Learning with Python \u2013 Complete Course & Projects is a course on how to build, evaluate, and deploy machine learning models with Python, published by Udemy Online Academy. You\u2019ll start by mastering essential Python libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn, then delve into core machine learning concepts like supervised and unsupervised learning, regression, classification, clustering, and model evaluation. The course emphasizes practical application through real-world projects where you clean and preprocess data, select and tune models, visualize results, and solve meaningful problems from start to finish.<\/p>\n

The course starts with Python basics, and then covers machine learning concepts like evaluation metrics or feature engineering topics. Finally, machine learning algorithms are covered. By completing this course, you will have the knowledge of how machine learning algorithms work and be able to implement machine learning algorithms in Python. In this course, we will cover Python fundamentals, Pandas, feature engineering, machine learning evaluation metrics, split train testing, and machine learning algorithms.<\/p>\n

What you will learn in Machine Learning with Python \u2013 Complete Course & Projects:<\/h3>\n