Students will be able to understand and implement in Python algorithms of Unsupervised Machine Learning and apply them to real-world datasets . The core of this course involves study of the following algorithms: Clustering: Hierarchical, DBSCAN, K Means, Gaussian Mixture Model . Principal Component Analysis (PCA) Implementation of clustering algorithms and principal component analysis in Python . Students will learn how to use the algorithms to find patterns in datasets and apply to real world data using real-life data . Unlike many other courses, this course: Unlike many others courses, the course is free to use Python for students .Authentication failed. Unique API key is not valid for this user.
Who this course is for:
Scientists, engineers and programmers interested in data science/machine learning
File Name :
Unsupervised Machine Learning with Python free download
