{"id":11490,"date":"2026-08-10T10:32:53","date_gmt":"2026-08-10T10:32:53","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-centric-machine-learning-with-python-hands-on-guide-2025-3\/"},"modified":"2026-08-10T10:32:53","modified_gmt":"2026-08-10T10:32:53","slug":"udemy-data-centric-machine-learning-with-python-hands-on-guide-2025-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-centric-machine-learning-with-python-hands-on-guide-2025-3\/","title":{"rendered":"Udemy \u2013 Data-Centric Machine Learning with Python: Hands-On Guide 2025-3"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Data-Centric Machine Learning with Python: Hands-On Guide. This intensive 3-4 hour course teaches the fundamental concepts and advanced techniques of data-centric machine learning in Python. In a world where data is critical, this course emphasizes the importance of data quality and its impact on model performance. Participants will learn the fundamentals of machine learning, data science tools in Python, and key steps in data preparation including exploratory analysis, missing value management, and feature engineering. Supervised learning techniques such as regression and classification are also taught, along with appropriate evaluation criteria. More advanced topics include cross-validation, hyperparameter tuning, and unsupervised learning such as clustering and anomaly detection. Practical applications such as text analytics, image classification, and recommender systems are also covered. At the end of the course, participants apply their knowledge to a real-world scenario by completing a practical loan forecasting project. This course is designed for data scientists, analysts, and technology professionals who want to use data-driven machine learning in their professional work.<\/span><\/p>\n

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