Book

Machine Learning Fundamentals

As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains the scikit-learn API, which is a package created to facilitate the process of building machine learning applications. By explaining the differences between supervised and unsupervised models and by applying some popular algorithms to real-life datasets, this course gives you the skills and confidence to start programming machine learning algorithms.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
8h approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 8h total length

1. Introduction to sciki-learn
2. Unsupervised Learning: Real-life Applications
3. Supervised Learning: Key Steps
4. Supervised Learning Algorithms: Predict Annual Income
5. Artificial Neural Networks: Predict of Annual Income
6. Building Your Own Program

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