A Practical Approach to Timeseries Forecasting Using Python
 - Data Pre-Processing

A Practical Approach to Timeseries Forecasting Using Python - Data Pre-Processing

Assessment

Interactive Video

Computers

10th - 12th Grade

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers data preprocessing in Python, including data cleaning and visualization. It introduces advanced data processing techniques like RVT, feature engineering, and stationarity. The tutorial demonstrates using Matplotlib for plotting data features, creating subplots, and plotting graphs separately for better clarity. It concludes with a discussion on RVT and resampling for time series forecasting.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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