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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-simple-multiple-and-polynomial-regression-models/
课程评论：没有评论
课程名称：《Python 简单、多重与多项式回归模型》 课程概述： 本课程旨在通过理论和数学的理解解决 Python 中的回归问题。课程将逐步推导回归问题的所有数学方程，并在 Python 编码过程中逐步展示其实现。课程适合所有人，包括高中生、大学生以及机器学习研究人员。课程从回归的基础知识开始，以适度的进度进行讲解，确保每位学生都能轻松跟上。 在本课程中，您将学习到以下内容：回归的理论知识，回归的数学基础（包括详细推导）以及如何根据所学的回归方程在 Python 中进行编码。 适合人群： - 学习数据科学、机器学习和应用统计分析的学生； - 希望从 Matlab 和其他编程语言转向 Python 的学生和研究人员； - 了解回归分析理论但不清楚如何在 Python 中实现的学生和研究人员； - 任何希望从零开始学习简单、多重与多项式回归分析的个人。 通过本课程，您将掌握回归分析的核心知识及其在 Python 编程中的实际应用。
•The focus of the course is to solve Regression problem in python with the understanding of theory and Mathematics as well.• All the mathematical equations for Regression problem will be derived and during coding in python we will code these equations step by step to see the implementation of mathematics of Regression in python.• This course is for everyone. A high school student, a university student anda researcher in machine learning.• The course starts from the fundamentals of Regression and then we willmove on to next levels with a decent pace so that every student can followalong easily.• In this course you will learn about the theory of the Regression,mathematics of Regression with proper derivations and following all thesteps. Finally, you will learn how to code Regression in python by followingthe equations of Regression learned in the theory.Who this course is for ?Students learning Data Science, Machine Learning and Applied Statistical Analytics.Students and Researchers who want to switch from Matlab and Other Programming Languages to Python.Students and Researchers who know about the theory of Regression Analysis but don't know how to implement in Python.Every individual who wants to learn Simple, Multiple and Polynomial Regression Analysis from scratch.
