A Practical Approach to Timeseries Forecasting Using Python
 - Course Introduction

A Practical Approach to Timeseries Forecasting Using Python - Course Introduction

Assessment

Interactive Video

Computers

9th - 12th Grade

Hard

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This video tutorial covers Python usage, data manipulation with pandas and numpy, and data visualization using matplotlib and seaborn. It introduces machine learning algorithms like ARIMA and SARIMA for time series forecasting and explores deep learning with RNNs, LSTM, and Bi-LSTM. The course concludes with practical projects on COVID-19 prediction, stock forecasting, and birth rate analysis.

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OPEN ENDED QUESTION

3 mins • 1 pt

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

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