A Practical Approach to Timeseries Forecasting Using Python
 - Dataset Overview - Data Processing for Timeseries Forecas

A Practical Approach to Timeseries Forecasting Using Python - Dataset Overview - Data Processing for Timeseries Forecas

Assessment

Interactive Video

Computers

10th - 12th Grade

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers the process of working with a dataset for time series analysis. It begins with an overview of the dataset and the main libraries used, such as pandas and numpy. The tutorial then demonstrates how to import these libraries and explains their functions. The dataset is explored, highlighting its structure and columns. The process of loading a CSV file and parsing date formats is shown, followed by indexing the date column and displaying data entries. The tutorial sets the stage for further data manipulation and analysis in subsequent sections.

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OPEN ENDED QUESTION

3 mins • 1 pt

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