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freeCodeCamp: Machine Learning with Python Participants can watch hours of free videos about machine learning. At the end, each course has one learning multiple-choice question. Users are provided five different challenges to take on. The interactive projects include the creation of a book recommend...
YouTubeYouTube上搞的机器学习视频,为了方便观看顺手上传B站,有英文字幕,学机器学习可以顺手学英语, 视频播放量 392、弹幕量 0、点赞数 14、投硬币枚数 7、收藏人数 17、转发人数 0, 视频作者 听风南巷, 作者简介 数学,思想的极致,理性的终极,相关视频:【全328集】清
scikit-learnis a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See theAbout uspage for a...
Machine Learning (a subset of Artificial Intelligence (AI)) is the science of getting computers to learn and act without being explicitly programmed.
Andy Olsen has built this class to get you started quickly, focusing first on the basics and then walking you through hands-on scikit examples to help you understand how to put Machine Learning into practice. The course concludes with a case study section so you can use your new skills in...
Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2nd Edition Textbook 星级: 622 页 Python Machine Learning Machine Learning and Deep Learning with Python scikit learn and TensorFlow 2nd Edition com 星级: 838 页 Python Machine Learning Machine ...
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Machine Learning with PyTorch and Scikit-Learnhas been a long time in the making, and I am excited to finally get to talk about the release of my new book. Initially, this project started as the 4th edition ofPython Machine Learning. However, we made so many changes to the book that we...
scikit-learn course 📢 📢 📢 A new session of theMachine learning in Python with scikit-learn MOOC, is available starting on November 8th, 2023 and will remain open on self-paced mode. Enroll for the full MOOC experience (quiz solutions, executable notebooks, discussion forum, etc ......