Introduction to Time Series with Python [2023]

所在平台: Udemy

课程主页: https://www.udemy.com/course/introduction-to-time-series-with-python-2023/

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课程名称:使用Python进行时间序列分析入门 [2023] 课程概述:如果你对时间序列领域感兴趣,欢迎参加本课程!由一位软件工程师设计,课程结合了多年的经验与知识,旨在简化复杂的理论、算法和编码库的学习。课程将带领你理解时间序列的概念,并将机器学习技术应用于时间序列分析。通过每个教程,你将不断提升技能,加深对这一具有挑战性且回报丰厚的机器学习子领域的理解。 课程内容丰富且引人入胜,我们将深入探讨时间序列,包括相关的概念和实践,使你了解什么是时间序列及其实现方法。在新版课程中,我们将覆盖大量工具和技术,包括Pandas、Matplotlib、sklearn、Statsmodels、Scipy、Prophet、seaborn等,以及多种分析方法,如Z-score、Turkey方法、Silverkite、红白噪声、XGBOOST、STL分解等。 课程还包含基于实际例子的丰富实践练习,让你不仅学习理论,还能亲自动手构建模型。课程中设有五个大型项目,涉及医疗行业问题,以及一个小型练习项目,项目列表包括: - 纽约出租车项目 - 航空乘客项目 - 电影票房项目 - CO2项目 - 点击率项目 - 销售项目 - 啤酒生产项目 - 医疗治疗项目 - Divvy自行车共享项目 - Instagram项目 - 日斑项目 通过这些项目,你将获得真实的实践经验,提升时间序列分析的实战能力。

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Interested in the field of time-series? Then this course is for you!A software engineer has designed this course. With the experience and knowledge I did gain throughout the years, I can share my knowledge and help you learn complex theory, algorithms, and coding libraries simply.I will walk you into the concept of time series and how to apply Machine Learning techniques in time series. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of machine learning.This course is fun and exciting, but at the same time, we dive deep into time-series with concepts and practices for you to understand what is time-series and how to implement them. Throughout the brand new version of the course, we cover tons of tools and technologies, including:Pandas.MatplotlibsklearnStatsmodelsScipyProphetseabornZ-scoreTurkey methodSilverkiteRed and white noiseruptureXGBOOSTAlibi_detectSTL decompositionCointegrationAutocorrelationSpectral ResidualMaxNLocatorWinsorizationFourier orderAdditive seasonalityMultiplicative seasonalityUnivariate imputationMultavariate imputationinterpolationforward fill and backward fillMoving averageAutoregressive Moving Average modelsFourier AnalysisARIMA modelMoreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are five big projects on healthcare problems and one small project to practice. These projects are listed below:Nyc taxi ProjectAir passengers Project.Movie box office Project.CO2 Project.Click Project.Sales Project.Beer production Project.Medical Treatment Project.Divvy bike share program.Instagram.Sunspots.

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