A Practical Approach to Timeseries Forecasting Using Python
 - Data Manipulation in Time Series

A Practical Approach to Timeseries Forecasting Using Python - Data Manipulation in Time Series

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

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The video tutorial covers the use of libraries like pandas, numpy, and matplotlib for data manipulation and visualization. It explains data slicing, time series analysis, and various plotting techniques such as area plots, histograms, and pie charts. The importance of data representation for machine learning and forecasting is also discussed.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of data slicing mentioned in the text.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the time series parameters that will be overviewed?

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