TIME SERIES ANALYSIS, FORECASTING, AND MACHINE LEARNING: Python Mastery for Beginners to Experts
Unlock the Power of Prediction: Master Time Series Analysis with Python
In a world driven by data, the ability to forecast trends, predict stock movements, and anticipate sales surges isn't just an advantage—it's essential. Time Series Analysis, Forecasting, and Machine Learning: Python Mastery for Beginners to Experts is your comprehensive guide to transforming raw data into actionable insights. Whether you're a novice coder dipping into data science or a seasoned analyst seeking advanced techniques, this book bridges the gap with clear, hands-on instruction.
Dive into the fundamentals of time series data, from distinguishing it from cross-sectional datasets to tackling core tasks like forecasting, classification, and anomaly detection. Progress through powerful models including ARIMA for trend prediction, GARCH for volatility modeling, and cutting-edge neural networks like LSTMs and GRUs for handling complex, non-linear patterns. With real-world applications in stocks, sales, and e-commerce, you'll learn to build ensembles, debug pitfalls, and deploy interactive dashboards using tools like AWS, Prophet, and Streamlit.
Packed with Python code snippets, capstone projects, and best practices for production, this book equips you to predict with precision and confidence. From exponential smoothing to multivariate VAR models, discover how to harness machine learning for everything from financial risk assessment to demand forecasting. Elevate your skills, outpace the competition, and turn data into decisions that drive success.
Perfect for data enthusiasts, business professionals, and aspiring AI experts—start forecasting the future today!
1148504665
In a world driven by data, the ability to forecast trends, predict stock movements, and anticipate sales surges isn't just an advantage—it's essential. Time Series Analysis, Forecasting, and Machine Learning: Python Mastery for Beginners to Experts is your comprehensive guide to transforming raw data into actionable insights. Whether you're a novice coder dipping into data science or a seasoned analyst seeking advanced techniques, this book bridges the gap with clear, hands-on instruction.
Dive into the fundamentals of time series data, from distinguishing it from cross-sectional datasets to tackling core tasks like forecasting, classification, and anomaly detection. Progress through powerful models including ARIMA for trend prediction, GARCH for volatility modeling, and cutting-edge neural networks like LSTMs and GRUs for handling complex, non-linear patterns. With real-world applications in stocks, sales, and e-commerce, you'll learn to build ensembles, debug pitfalls, and deploy interactive dashboards using tools like AWS, Prophet, and Streamlit.
Packed with Python code snippets, capstone projects, and best practices for production, this book equips you to predict with precision and confidence. From exponential smoothing to multivariate VAR models, discover how to harness machine learning for everything from financial risk assessment to demand forecasting. Elevate your skills, outpace the competition, and turn data into decisions that drive success.
Perfect for data enthusiasts, business professionals, and aspiring AI experts—start forecasting the future today!
TIME SERIES ANALYSIS, FORECASTING, AND MACHINE LEARNING: Python Mastery for Beginners to Experts
Unlock the Power of Prediction: Master Time Series Analysis with Python
In a world driven by data, the ability to forecast trends, predict stock movements, and anticipate sales surges isn't just an advantage—it's essential. Time Series Analysis, Forecasting, and Machine Learning: Python Mastery for Beginners to Experts is your comprehensive guide to transforming raw data into actionable insights. Whether you're a novice coder dipping into data science or a seasoned analyst seeking advanced techniques, this book bridges the gap with clear, hands-on instruction.
Dive into the fundamentals of time series data, from distinguishing it from cross-sectional datasets to tackling core tasks like forecasting, classification, and anomaly detection. Progress through powerful models including ARIMA for trend prediction, GARCH for volatility modeling, and cutting-edge neural networks like LSTMs and GRUs for handling complex, non-linear patterns. With real-world applications in stocks, sales, and e-commerce, you'll learn to build ensembles, debug pitfalls, and deploy interactive dashboards using tools like AWS, Prophet, and Streamlit.
Packed with Python code snippets, capstone projects, and best practices for production, this book equips you to predict with precision and confidence. From exponential smoothing to multivariate VAR models, discover how to harness machine learning for everything from financial risk assessment to demand forecasting. Elevate your skills, outpace the competition, and turn data into decisions that drive success.
Perfect for data enthusiasts, business professionals, and aspiring AI experts—start forecasting the future today!
In a world driven by data, the ability to forecast trends, predict stock movements, and anticipate sales surges isn't just an advantage—it's essential. Time Series Analysis, Forecasting, and Machine Learning: Python Mastery for Beginners to Experts is your comprehensive guide to transforming raw data into actionable insights. Whether you're a novice coder dipping into data science or a seasoned analyst seeking advanced techniques, this book bridges the gap with clear, hands-on instruction.
Dive into the fundamentals of time series data, from distinguishing it from cross-sectional datasets to tackling core tasks like forecasting, classification, and anomaly detection. Progress through powerful models including ARIMA for trend prediction, GARCH for volatility modeling, and cutting-edge neural networks like LSTMs and GRUs for handling complex, non-linear patterns. With real-world applications in stocks, sales, and e-commerce, you'll learn to build ensembles, debug pitfalls, and deploy interactive dashboards using tools like AWS, Prophet, and Streamlit.
Packed with Python code snippets, capstone projects, and best practices for production, this book equips you to predict with precision and confidence. From exponential smoothing to multivariate VAR models, discover how to harness machine learning for everything from financial risk assessment to demand forecasting. Elevate your skills, outpace the competition, and turn data into decisions that drive success.
Perfect for data enthusiasts, business professionals, and aspiring AI experts—start forecasting the future today!
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TIME SERIES ANALYSIS, FORECASTING, AND MACHINE LEARNING: Python Mastery for Beginners to Experts
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TIME SERIES ANALYSIS, FORECASTING, AND MACHINE LEARNING: Python Mastery for Beginners to Experts
142Paperback
$12.72
12.72
In Stock
Product Details
| ISBN-13: | 9785858144885 |
|---|---|
| Publisher: | Kirstin Hahn |
| Publication date: | 10/11/2025 |
| Pages: | 142 |
| Product dimensions: | 6.00(w) x 9.00(h) x 0.30(d) |
About the Author
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