Udemy – Professional Certificate in Machine Learning 2023-8

Udemy – Professional Certificate in Machine Learning 2023-8 Downloadly IRSpace

Aug 17, 2025 - 02:10 Updated: Aug 19, 2025 - 14:07

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Udemy – Professional Certificate in Machine Learning 2023-8

The Professional Certificate in Machine Learning is a course on essential concepts, tools, and techniques used in modern machine learning, published by Udemy Online Academy. It is a structured and in-depth program designed to equip learners with the essential concepts, tools, and techniques used in modern machine learning. Designed for aspiring data scientists, engineers, and analysts, the certificate emphasizes theoretical understanding and practical implementation, guiding students through the complete process of developing, evaluating, and deploying machine learning models for real-world applications.

Key topics include supervised and unsupervised learning, model selection and evaluation, linear and logistic regression, decision trees, support vector machines, clustering algorithms such as K-means and hierarchical clustering, dimensionality reduction using PCA, ensemble methods such as bagging and boosting, neural networks and the basics of deep learning, overfitting and regularization, hyperparameter tuning, cross-validation, implementation with Python and libraries such as scikit-learn and TensorFlow, and applying ML techniques to real-world datasets in industries such as finance, healthcare, and e-commerce.

What you will learn in Professional Certificate in Machine Learning:

Unsupervised Learning – Clustering, K-Means Clustering
Data Preprocessing – Data preprocessing is the stage where data is transformed or encoded.
Evaluating Machine Learning Algorithms: Accuracy, Recall, F-Measure, Convolutional Matrices
Deep Convolutional Generative Adversarial Networks (DCGAN)
Algorithm Analysis for Data Scientists
And…

Course specifications

Publisher: Udemy
Instructors: Academy of Computing & Artificial Intelligence
Language: English
Level: Introductory to Advanced
Number of Lessons: 196
Duration: 24 hours