Practical Machine Learning
Hands-on training for implementing and maintaining machine learning models that solve real business problems.
Duration
3 days
Level
Intermediate
Audience
Data Scientists, Developers
This hands-on workshop bridges the gap between theoretical machine learning knowledge and practical implementation. Participants will work through complete ML projects from problem formulation to deployment and monitoring.
You'll learn how to build ML solutions that address real business problems, handle messy real-world data, and create systems that can be reliably deployed and maintained in production.
Prerequisites
- Basic Python programming skills
- Familiarity with data analysis concepts
- Understanding of basic statistics
- Experience with pandas and numpy is helpful but not required
Who Should Attend
- Data scientists moving from theory to practice
- Software developers expanding into ML implementation
- Analytics professionals upgrading their toolkit
- ML engineers looking to improve their end-to-end skills
What You'll Learn
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