Time Series

Time series data is a sequence of data points collected or recorded at successive points in time, typically at uniform intervals. Its key characteristic is the temporal ordering of observations, which makes it essential for analyzing trends, patterns, and changes over time.

Interest:

• Time Series Forecasting
• Anomaly Detection in Time Series
• Decomposition in Time Series
• Stationary Time Series

• Feature Engineering for Time Series
• MLOPS for Time Series
• Additive vs Multiplicative Models Time Series
• Growth Models in Time Series
• Properties of Time Series Models
• Clustering Time Series

Setups:

• Querying Time Series
• Joining Time Series
• Time Series Python Packages

Other:

• Basics of Time Series
• Time Series Learning Resources

Relevant Resources

• In ML_Tools, see the TimeSeries folder: GitHub: Time Series Explorations
• Rob J Hyndman Forecasting: Principles and Practice
• Time series analysis with Python
• mlcourse.ai