opencampus.sh Machine Learning Program
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  • opencampus.sh Machine Learning Program
  • Course Kick-Off
  • How do I choose a course?
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  • Courses
    • Introduction to Data Science and Machine Learningchevron-right
    • Machine Learning with TensorFlowchevron-right
    • Intermediate Machine Learningchevron-right
    • From LLMs to AI Agents🤖chevron-right
    • Advanced Time Series Predictionchevron-right
      • Requirements for a Certificate of Achievement or ECTS
      • Projects & Frameworks
      • Lecture material + YouTube
      • References / Books
      • Week 1 - Intro + Organisation
      • Week 2 - SARIMA(X) + GARCH-Models
      • Week 3 - Labour Day
      • Week 4 - State-Space models // Filtering
      • Week 5 - Dependence concepts: Copula // Gaussian Processes // RMT
      • Week 6 - Extremes // Anomalies // Signatures
      • Week 7 - Tree models: XGBoost // LightGBM // CatBoost
      • Week 8 - (Deep) recurrent architectures for time series data
      • Week 9 - Transformers + TemporalFusionTransformers
      • Week 10 - NBEATS(x) + NHITS
      • Week 11 - LLM for time series problems
      • Week 12 - Final Presentations
      • Week 13 - Final Presentations (Back-Up)
    • Python: Beginner to Practitionerchevron-right
    • Fine-Tuning and Deployment of Large Language Modelschevron-right
    • Archivechevron-right
  • Events
    • Coding.Waterkant 2023
    • Prototyping Week
  • Course Projects
    • Choosing a Project
    • How to Start, Complete, and Submit Your Project
  • Additional Resourses
    • Glossary
    • Coursera
    • Selecting the Optimizer
    • Choosing the Learning Rate
    • Learning Linear Algebra
    • Learning Python
    • Support Vector Machines
    • ML Statistics
  • Tools
    • Git
    • RStudio
    • Google Colab
    • Zoom
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  1. Courseschevron-right
  2. Advanced Time Series Prediction

Week 1 - Intro + Organisation

Think about your project:

What are your skills and interests?

What motivates you?

Watch the first YouTube-Tutorials

LogoGitHub - vishnukanduri/Time-series-analysis-in-Python: I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.GitHubchevron-right
https://www.youtube.com/playlist?list=PLtIY5kwXKny91_IbkqcIXuv6t1prQwFhOarrow-up-right

THIS PLAYLIST IS OPTIONAL:

https://www.youtube.com/playlist?list=PL0vEWJI_pj7SWa-cOUZZlHtpMQ7ULrTdYarrow-up-right

PreviousReferences / Bookschevron-leftNextWeek 2 - SARIMA(X) + GARCH-Modelschevron-right

Last updated 1 year ago

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