|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/time-series-analysis/
课程评论：没有评论
课程名称：时间序列分析、预测与机器学习 课程概述：欢迎朋友们！本课程将深入浅出地介绍Python中的时间序列分析、预测及机器学习领域。近年来，时间序列分析的重要性日益凸显，尤其在通货膨胀加剧的背景下，很多人将目光投向股市和加密货币，以保护财富的价值。同时，新冠疫情也让我们意识到，预测在公共卫生决策中是不可或缺的工具。越来越多的企业通过提前预测库存和运营需求而变得更加高效。 这绝对不是一门普通的时间序列分析课程。我们将探讨现代发展的内容，例如深度学习、时间序列分类（通过智能手机数据获取用户洞察或从大脑电活动中解读思维）等。课程将涵盖以下技术： - ETS与指数平滑法 - 霍尔特线性趋势模型 - 霍尔特-温特斯模型 - ARIMA、SARIMA、SARIMAX及自动ARIMA - 自相关函数（ACF）与偏自相关函数（PACF） - 向量自回归与移动平均模型（VAR、VMA、VARMA） - 机器学习模型（包括逻辑回归、支持向量机和随机森林） - 深度学习模型（人工神经网络、卷积神经网络和循环神经网络） - 用于时间序列预测的GRU和LSTM 我们还将探讨如销售数据的时间序列预测、股票价格和回报的时间序列预测、智能手机数据的时间序列分类以预测用户行为等应用。VIP版本课程将涵盖更多精彩主题，例如AWS Forecast（亚马逊的低代码预测API）、GARCH（金融波动模型）和FB Prophet（Facebook的时间序列库）。 还在等什么？快来报名吧，获取课程终身访问权限，完成证书可以在你的LinkedIn个人资料上展示，以及使用最新时间序列分析技术的技能，其他地方学不到的内容。感谢阅读，课程中见！ 独特特色： - 每一行代码都将详细解释，随时可以通过邮件与我沟通。 - 不虚耗时间在“打字”上，与其他课程不同，我们将真实地掌握可学习的代码。 - 不畏惧大学级别的数学，深入了解其他课程常常省略的算法关键细节。
Hello friends!Welcome to Time Series Analysis, Forecasting, and Machine Learning in Python.Time Series Analysis has become an especially important field in recent years.With inflation on the rise, many are turning to the stock market and cryptocurrencies in order to ensure their savings do not lose their value.COVID-19 has shown us how forecasting is an essential tool for driving public health decisions.Businesses are becoming increasingly efficient, forecasting inventory and operational needs ahead of time.Let me cut to the chase. This is not your average Time Series Analysis course. This course covers modern developments such as deep learning, time series classification (which can drive user insights from smartphone data, or read your thoughts from electrical activity in the brain), and more.We will cover techniques such as:ETS and Exponential SmoothingHolt's Linear Trend ModelHolt-Winters ModelARIMA, SARIMA, SARIMAX, and Auto ARIMAACF and PACFVector Autoregression and Moving Average Models (VAR, VMA, VARMA)Machine Learning Models (including Logistic Regression, Support Vector Machines, and Random Forests)Deep Learning Models (Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks)GRUs and LSTMs for Time Series ForecastingWe will cover applications such as:Time series forecasting of sales dataTime series forecasting of stock prices and stock returnsTime series classification of smartphone data to predict user behaviorThe VIP version of the course will cover even more exciting topics, such as:AWS Forecast (Amazon's state-of-the-art low-code forecasting API)GARCH (financial volatility modeling)FB Prophet (Facebook's time series library)So what are you waiting for? Signup now to get lifetime access, a certificate of completion you can show off on your LinkedIn profile, and the skills to use the latest time series analysis techniques that you cannot learn anywhere else.Thanks for reading, and I'll see you in class!UNIQUE FEATURESEvery line of code explained in detail - email me any time if you disagreeNo wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratchNot afraid of university-level math - get important details about algorithms that other courses leave out
