Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning

Price: $52.99
(as of Dec 17,2024 04:57:33 UTC – Details)

Publisher ‏ : ‎ Packt Publishing (November 24, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 552 pages
ISBN-10 ‏ : ‎ 1803246804
ISBN-13 ‏ : ‎ 978-1803246802
Item Weight ‏ : ‎ 2.09 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 1.14 inches

Time series forecasting is a powerful tool used in various industries to predict future trends and patterns based on historical data. In this post, we will explore how to perform industry-ready time series forecasting using modern machine learning and deep learning techniques in Python.

Some of the key topics we will cover include:

1. Introduction to time series forecasting: We will discuss the importance of time series forecasting in different industries and applications.

2. Data preparation and preprocessing: We will walk through the process of preparing and preprocessing time series data for modeling.

3. Traditional time series forecasting models: We will cover popular traditional time series forecasting models such as ARIMA, SARIMA, and exponential smoothing.

4. Machine learning-based time series forecasting: We will explore how machine learning algorithms such as Random Forest, Gradient Boosting, and LSTM can be used for time series forecasting.

5. Hyperparameter tuning and model evaluation: We will discuss techniques for tuning hyperparameters and evaluating the performance of time series forecasting models.

6. Case study: We will work on a real-world case study to demonstrate how to apply modern time series forecasting techniques in practice.

By the end of this post, you will have a solid understanding of how to leverage modern machine learning and deep learning techniques for time series forecasting in Python. Whether you are a data scientist, analyst, or researcher, this post will equip you with the knowledge and skills to build accurate and reliable time series forecasting models for your industry-specific needs.
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