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Time Series Forecasting with Python and XGBoost: Forecasting with supervised machine learning methods-P2P

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.

Time Series Forecasting with Python and XGBoost: Forecasting with supervised machine learning methods-P2P
English | 2020 | ASIN: B08KPM6TM5 | 53 Pages | PDF/EPUB/AZW3/MOBi | 4.50 MB
Download: ( NITROFLARE ) | ( RAPIDGATOR )

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  1. RUDOS
    October 4th, 2020 | 22:11
  2. Farid
    October 4th, 2020 | 22:28

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  3. Matbb
    October 6th, 2020 | 16:01

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