本课程通过Python与Scikit-Learn库，提供机器学习的实践指导。内容涵盖核心算法与Jupyter Notebook实战，适合有基础Python编程能力的学员快速入门ML/AI。
原始标题：Hands-On Machine Learning With Scikit-Learn And Python
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.46 GB | Duration: 3h 54m
A practical approach
What you’ll learn
Machine Learning with scikit-learn and Python
Requirements
Python programming
Basic math knowledge or willingness to learn fast
Description
You keep hearing about machine learning and artificial intelligence and how they revolutionize the world we live in. You want to learn more. You’re in the right place.You have basic understanding of Python and you are decent in math. Better!You’re going to learn hands-on machine learning with scikit-learn, a Python library for machine learning. Since this is a hands-on course, you will be working your way through with Python and Jupyter notebooks.
Who this course is for
You want to get into machine learning and artificial intelligence,You already work in ML/AI and need to learn to program basic algorithms in Python with scikit-learn,You are a student, know a bit of coding, and want to get into ML/AI,You are a programmer and want to smoothly transition into ML/AI
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