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Python Machine Learning Bootcamp

Become essential in a world centered around machine learning

MS

Created by Maximilian Schallwig

Build a strong foundation in machine learning by working through real-world projects and mastering essential techniques. Explore the full process from data preparation to model optimization and gain the confidence to apply machine learning in professional settings.

Packt | Dec 2022 | 1439 min

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LevelIntermediate
CategoriesData Science, Supervised and Unsupervised Learning Techniques, PyTorch, Python

What You Will Learn

You will start by exploring the theory behind key machine learning models to build a solid understanding of their behavior. Then, you will put this knowledge into practice by implementing models on real datasets, tuning parameters, and evaluating results. This hands-on approach ensures you gain both conceptual clarity and practical experience.

Key Features

  • Develop practical skills in data cleaning, feature engineering, and model selection
  • Understand and implement classification, regression, and ensemble methods
  • Learn to optimize models and troubleshoot common machine learning challenges

Target Audience

Ideal for Python programmers and aspiring data scientists with basic Python skills who want to deepen their understanding of machine learning. If you are looking to confidently build and apply machine learning models at work or prepare for technical interviews, this course will help you reach your goals.

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