Machine Learning For Time-series With Python Forecast Predict And Detect A

Become Proficient In Deriving Insights From Time-series Data And Analyzing A Models Performancekey Features:explore 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:machine Learning Has Emerged As A Powerful Tool To Understand Hidden Complexities In Time-series Datasets, Which Frequently Need To Be Analyzed In Areas As Diverse As Healthcare, Economics, Digital Marketing, And Social Sciences. These Datasets Are Essential For Forecasting And Predicting Outcomes Or For Detecting Anomalies To Support Informed Decision Making.this Book Covers Python Basics For Time-series And Builds Your Understanding Of Traditional Autoregressive Models As Well As Modern Non-parametric Models. You Will Become Confident With Loading Time-series Datasets From Any Source, Deep Learning Models Like Recurrent Neural Networks And Causal Convolutional Network Models, And Gradient Boosting With Feature Engineering.machine Learning For Time-series With Python Explains The Theory Behind Several Useful Models And Guides You In Matching The Right Model To The Right Problem.