It takes the average reader 7 hours and 41 minutes to read Time Series Forecasting in Python by Marco Peixeiro
Assuming a reading speed of 250 words per minute. Learn more
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow. Time Series Forecasting in Python...
Time Series Forecasting in Python by Marco Peixeiro is 454 pages long, and a total of 115,316 words.
This makes it 153% the length of the average book. It also has 141% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 30 minutes to read Time Series Forecasting in Python aloud.
Time Series Forecasting in Python is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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