MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 0.99 GB
Genre: eLearning | Language: English
Understand How Online Recommendations Work by Building a Movie App. In this Recommendation Systems in Python online course, you will learn about key concepts such as content-based filtering, collaborative filtering, neighborhood models, matrix factorization, and more! By the time you have finished the training, you will be able to build a movie recommendation system in Python by mastering both theory and practice. Recommendation Engines perform a variety of tasks, but the most important one is to find products that are most relevant to the user. Follow along with this intensive Recommendation Systems in Python training course to get a firm grasp on this essential Machine Learning component. Supplemental Material included!
Machine_Learning_-_Recommendation_Systems_in_Python.part2.rar - 300.0 MB
Machine_Learning_-_Recommendation_Systems_in_Python.part3.rar - 300.0 MB
Machine_Learning_-_Recommendation_Systems_in_Python.part4.rar - 115.0 MB
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