{"id":9501,"date":"2026-08-10T10:08:09","date_gmt":"2026-08-10T10:08:09","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-learn-machine-learning-course-with-python-a-to-z-2024-1\/"},"modified":"2026-08-10T10:08:09","modified_gmt":"2026-08-10T10:08:09","slug":"udemy-learn-machine-learning-course-with-python-a-to-z-2024-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-learn-machine-learning-course-with-python-a-to-z-2024-1\/","title":{"rendered":"Udemy \u2013 Learn Machine Learning Course with Python A to Z 2024-1"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Learn Machine Learning Course with Python A to Z. This course covers all the basic concepts and advanced techniques of machine learning with a practical and project-based approach. First, you will be introduced to the basics of Python programming and machine learning fundamentals, then you will learn the steps of data preprocessing including cleaning, transforming and preparing data for modeling. Next, important supervised learning algorithms such as linear regression, logistic regression, decision trees and support vector machines are taught in a practical way. Part of the course is dedicated to the topics of model evaluation and validation, which is essential for measuring the accuracy and efficiency of the developed models. At the advanced level, the concepts of deep learning and neural networks are presented using the TensorFlow and Keras libraries. With a focus on real-world applications, this course includes practical projects in various fields such as health, finance and marketing that help you apply theoretical knowledge in practical situations. This course is designed for students, software developers, data analysts, and all those interested in the field of artificial intelligence who want to enter the world of machine learning in a fundamental way.<\/span><\/p>\n

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