Udemy – Time Series Classification in Python 2024-12

Apr 18, 2025 - 18:59

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Time Series Classification in Python is a course on how to analyze and classify time-dependent data using Python, published by Udemy Online Academy. This course covers fundamental concepts such as feature extraction, preprocessing, and machine learning models designed for time series classification. Learners will explore various classification techniques, including traditional methods such as decision trees and SVM, as well as advanced deep learning approaches such as LSTM and CNN.

This course covers machine learning and deep learning techniques for time series classification, all applied in 100% Python-guided hands-on projects. Key topics include missing data handling, feature engineering, model evaluation, and real-world applications in finance, healthcare, and predictive maintenance. By the end, participants will have a strong foundation in time series classification and the ability to build robust predictive models for a variety of industries.

What you will learn in Time Series Classification in Python:

Build optimal time series classification models
Gain a deep understanding of algorithms and how they work
Use machine learning and deep learning for time series classification
Visualize complex time series classification data
Gain experience with real-world datasets in healthcare, IoT, spectroscopy, and more
And…