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    3. Time Series Forecasting with Python and XGBoost: Forecasting with supervised machine learning methods

    Time Series Forecasting with Python and XGBoost: Forecasting with supervised machine learning methods

    Posted By: AvaxKevin
    Date: 4 Oct 2020 20:35:57
    Time Series Forecasting with Python and XGBoost: Forecasting with supervised machine learning methods


    Time Series Forecasting with Python and XGBoost: Forecasting with supervised machine learning methods by Dario Radečić
    English | 2020 | ASIN: B08KPM6TM5 | 53 Pages | PDF/EPUB/AZW3/MOBi | 4.50 MB


    Welcome to Time Series Forecasting with Python and XGBoost - the only book you'll need to master time series forecasting with supervised machine learning methods.

    This is a short and to-the-point book. It's only around 50 pages long, but it delivers everything you would expect and more. Zero time is wasted on non-relevant points, like an introduction to programming, machine learning, and time series. It is expected that the reader knows the basics of programming in Python and is familiar with machine learning algorithms. The reader should also know the basics of time series forecasting, with algorithms such as Exponential smoothing or ARIMA. Expert knowledge is not expected from the reader, as the book explains every line of code.
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