Free Download: Learn Time Series Classification
Learn how to build time series models using Python. Stream and download free premium video classes in machine learning and data science.
Time Series Classification in Python Overview:
This premium video course offers complete access to expert-led lessons on building time series classification models using Python. You can stream or download the full training for free and dive deep into topics such as data visualization, healthcare data analysis, and practical ML techniques. Whether you’re a beginner or someone expanding their skill set, this course helps you understand how machine learning and deep learning work for time-based data.
You will also work on real-world datasets and gain hands-on experience in applying algorithms effectively. The instructor shares personal insights from his journey of becoming a self-taught data scientist, making the learning process approachable and clear. With these lessons, you’ll master complex subjects through simple, step-by-step instruction designed for serious learners.
This free course helps you master time series classification using Python from scratch.
What You’ll Learn in Time Series Classification in Python:
- Build optimized classification models for time series data
- Apply machine learning and deep learning techniques
- Visualize and interpret complex datasets
- Gain insights into real-world scenarios like healthcare and IoT
- Understand how algorithms work behind the scenes
Course Highlights:
- Real-world applications: Work with datasets from healthcare, IoT, and more
- Self-paced learning: Learn at your own convenience with complete course access
- Beginner to pro: Progress from basic concepts to advanced techniques
- High-quality content: Developed and taught by experienced data scientist Marco Peixeiro
Course Info: Time Series Classification
The course, published by Udemy and created by Marco Peixeiro, provides in-depth training on time series classification using Python. Released in January 2025, it offers high-quality video lessons in English and comes in a downloadable .rar or .zip file format with a total size of 2.76 GB. With a strong focus on practical skills, learners explore real-life data scenarios and master tools for Python-based data science. This course suits anyone looking to start or grow in the data science field, especially those passionate about time-based data.
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