A Practical Approach to Timeseries Forecasting Using Python
Learn Time Series Forecasting Using Machine Learning, Recursive Neural Networks, and Python
Created by AI Sciences
Explore the world of time series forecasting by learning how to analyze, visualize, and predict data trends using Python. You will start with the basics and gradually move on to advanced machine learning and neural network models, all through hands-on projects and real-world examples.
Packt | Mar 2023 | 745 min
What You Will Learn
You will gain skills by working through practical coding exercises and real projects. Each section introduces concepts with clear explanations, followed by hands-on coding to reinforce your understanding. Quizzes and guided solutions help you check your progress and deepen your learning as you go.
Key Features
- Analyze and visualize time series data using Python libraries like NumPy and Matplotlib
- Build and evaluate machine learning and recurrent neural network models for forecasting
- Apply forecasting techniques to real datasets, including stock prices and COVID-19 cases
Target Audience
This course is ideal for beginners with basic Python skills who want to break into data analysis, machine learning, or deep learning. If you are curious about forecasting trends or applying neural networks to time-based data, you will find step-by-step guidance and practical experience to help you reach your goals.
