Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python by Sulekha Aloorravi
Requirements: .ePUB reader, 10 MB
Overview: Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate. "Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power of time series data in their work. The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection. Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including Machine Learning and Deep Learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://tbit.to/jhn9izx4nhve.html
https://katfile.com/ortzt3u10rmj/Mastering_Time_Series_Analysis_Python.rar.html
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Requirements: .ePUB reader, 10 MB
Overview: Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate. "Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power of time series data in their work. The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection. Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including Machine Learning and Deep Learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://tbit.to/jhn9izx4nhve.html
https://katfile.com/ortzt3u10rmj/Mastering_Time_Series_Analysis_Python.rar.html
https://rapidgator.net/file/31f60e463d5 ... n.rar.html
Trouble downloading? Read This.