kingers Posted April 16 Report Share Posted April 16 Applied Machine Learning: Algorithms Released: 4/15/2024 Duration: 1h 58m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 267 MB Genre: eLearning | Language: English [/center] With the growing importance of machine learning in almost every sector, professionals need a deeper understanding and practical approach to implementing ML algorithms effectively. This course covers commonly used machine learning algorithms. Instructor Matt Harrison focuses on non-deep learning algorithms, covering PCA, clustering, linear and logistic regression, decision trees, random forests, and gradient boosting. Join Matt in this course to understand common ML algorithms, learn their pros and cons, and develop hands-on skills to leverage them by following along with challenges and solutions in GitHub Codespaces. More Infohttps://voltupload.com/fdbrw4mgl6bf/Applied_Machine_Learning_Algorithms.ziphttps://rapidgator.net/file/834aee7187f3bd52ee7291975e6698ad/Applied_Machine_Learning_Algorithms.zipFree search engine download: Applied Machine Learning Algorithms Link to comment Share on other sites More sharing options...
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