It takes the average reader 6 hours and 10 minutes to read Machine Learning for Time-Series with Python by Ben Auffarth
Assuming a reading speed of 250 words per minute. Learn more
Get better insights from time-series data and become proficient in model performance analysis Key FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description The Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries...
Machine Learning for Time-Series with Python by Ben Auffarth is 370 pages long, and a total of 92,500 words.
This makes it 125% the length of the average book. It also has 113% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 25 minutes to read Machine Learning for Time-Series with Python aloud.
Machine Learning for Time-Series with 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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