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所在平台: Udemy |
课程主页: https://www.udemy.com/course/forecasting-python/
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《2025年Python时间序列分析与预测硕士课程》概述： 本课程是关于使用Python进行时间序列预测模型的在线学习，内容不断更新，涵盖了从基础到先进的多种预测技术。课程最新资料包括2024年3月发布的Google TSMixer、12月的Amazon AutoGluon、10月的Amazon Chronos和N-BEATS，以及9月的TFT和TFT顶点项目。 为什么选择这个课程？您将掌握预测模型背后的直觉，而无需复杂的数学知识。课程通过清晰的解释、直观的视觉效果和现实案例，帮助您理解关键概念，让您自信地运用这些技术。 课程涵盖的前沿技术包括： - 指数平滑法与Holt-Winters：适用于处理数据中的趋势和季节性。 - 高级ARIMA模型（SARIMA & SARIMAX）：掌握这些基础模型并学习如何结合外部变量提升预测效果。 - Facebook Prophet：高准确性的强大神经网络模型。 - 时间融合变压器（TFT）：利用深度学习技术进行多时间序列的高精度预测。 - LinkedIn Silverkite：灵活且强大的预测模型应用。 - N-BEATS：先进的神经网络模型处理各种时间序列预测问题。 - 生成AI与Amazon Chronos：探讨生成AI如何革新预测领域。 课程中您将与讲师逐行编写Python代码，从数据准备到模型实现，确保全面掌握必要技能。每节课都设有实践挑战和案例研究，鼓励您运用学到的内容，解决现实问题。 准备好预测未来了吗？加入我们，开始这一令人兴奋的学习旅程吧！
Updates March 2024:Google TSMixer LaunchedIntroduction to Time Series Analysis and Exponential Smoothing Python tutorials remade.Updates December 2024: Amazon AutoGluon launchedLibrary requirements.txt file for all sections addedUpdates October 2024:Amazon Chronos launchedN-BEATS launchedUpdates September 2024:TFT and TFT Capstone Project addedUpdates August 2024:Course remade 100%Silverkite, LSTM and Projects addedWelcome to the most exciting online course about Forecasting Models in Python. I will show everything you need to know to understand the now and predict the future.Forecasting is always sexy - knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!WHY SHOULD YOU ENROLL IN THIS COURSE?Master the Intuition Behind Forecasting ModelsNo need to get bogged down in complex math. This course emphasizes understanding the why behind each model. We simplify the concepts with clear explanations, intuitive visuals, and real-world examples-focusing on what really matters so you can apply these techniques confidently.Comprehensive Coverage of Cutting-Edge TechniquesYou'll dive deep into the most advanced and sought-after time series forecasting methods that are crucial in today's data-driven world:Exponential Smoothing & Holt-Winters: Perfect for handling trends and seasonality in your data.Advanced ARIMA Models (SARIMA & SARIMAX): Master these foundational models and learn how to incorporate external variables for enhanced forecasts.Facebook Prophet: Make robust, high-accuracy forecasts with minimal data preparation.Temporal Fusion Transformers (TFT): Leverage state-of-the-art deep learning techniques to forecast multiple time series with high accuracy.LinkedIn Silverkite: Understand and apply this powerful, flexible model for accurate predictions in various contexts.N-BEATS: Utilize cutting-edge neural network models for handling a variety of time series forecasting challenges.GenAI with Amazon Chronos: Explore how generative AI is revolutionizing forecasting with models like Amazon Chronos.Code Python Together, Line by LineWe'll code together, ensuring you understand each step of the process. From data preparation to model implementation, you'll learn how to write and refine every line of Python code needed to master these forecasting techniques.Practice, Practice, PracticeEach lesson includes hands-on challenges and case studies, allowing you to immediately apply what you've learned. You'll work with real datasets, solving real-world problems, and solidifying your skills through practical application.Are You Ready to Predict the Future?Did I spike your interest? Join me and learn how to predict the future!
