A free, self-paced course covering the concepts of anomaly and outlier detection, including handling missing values and data visualization.
A free online course designed for both beginners and professionals, covering the fundamentals of Support Vector Machines with solved problems and examples.
An introductory course to computer vision that covers image processing and the practical application of the OpenCV library with Python for AI and Machine Learning tasks. It provides insights into various methods for working with images.
A beginner-level course that introduces unsupervised learning, clustering, and Principal Component Analysis (PCA). It covers the fundamentals of clustering to group data points and find patterns, and how PCA aids in dimensionality reduction.
This free course teaches you the fundamentals of linear regression and its implementation in Python. It is a beginner-friendly course that covers the theory and practical aspects of this important machine learning algorithm.
This free course for beginners covers the basics of sentiment analysis using Python, including text pre-processing, vectorization, and modeling. It has a high number of learners.
This beginner-level course covers the basics of speech recognition, including ASR systems and acoustic models. It explores the principles, applications, and challenges of speech recognition, covering topics like speech signal processing, language modeling, and deep learning techniques.
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