opencampus.sh Machine Learning Program
CtrlK
  • opencampus.sh Machine Learning Program
  • Course Kick-Off
  • How do I choose a course?
  • FAQ
  • Courses
    • Introduction to Data Science and Machine Learning
    • Machine Learning with TensorFlow
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
      • 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 Practitioner
    • Fine-Tuning and Deployment of Large Language Models
    • Archive
  • 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
Powered by GitBook
On this page

Was this helpful?

  1. Courses
  2. Advanced Time Series Prediction

Week 6 - Extremes // Anomalies // Signatures

Continue working on your semester project !!!

https://www.youtube.com/playlist?list=PLblh5JKOoLULU0irPgs1SnKO6wqVjKUsQ

OPTIONAL --- If you need to brush-up your knowledge on Trees:

https://www.youtube.com/playlist?list=PLblh5JKOoLUKAtDViTvRGFpphEc24M-QH
https://www.youtube.com/playlist?list=PLblh5JKOoLUIE96dI3U7oxHaCAbZgfhHk
https://www.youtube.com/playlist?list=PLblh5JKOoLUJjeXUvUE0maghNuY2_5fY6
PreviousWeek 5 - Dependence concepts: Copula // Gaussian Processes // RMTNextWeek 7 - Tree models: XGBoost // LightGBM // CatBoost

Last updated 1 year ago

Was this helpful?