About This Course
Learn Machine Learning with Python, a comprehensive training manual that teaches the fundamentals of coding with Python. Whether you want to improve your coding skills or you want an upgrade at your workplace, this is the ideal start. In this course, you’ll master the processes, patterns, and strategies of this user-friendly programming language. This Python ML course covers supervised learning paradigms, like classical algorithms, and regression techniques to evaluate performance metrics. Besides this, you’ll also learn feature engineering for converting raw data into meaningful features. Furthermore, you’ll also leverage the Python scikit-learn library along with other powerful tools. Practice on our Labs to solidify your understanding as you explore object-oriented programming, modules, error handling, and even file operations. By the end of this course, you'll be confidently writing Python ML scripts and resolving coding issues.
Skills You’ll Get
- Understand the fundamentals of supervised machine learning algorithms and their classification
- Evaluating performance metrics for assessing the efficacy of your models
- Using engineer features to convert raw data into meaningful ML algorithms
- Managing system performance by creating robust pipelines
- Apply ML to various data types
- Leverage Python scikit-learn library and other tools
- Use of advanced techniques like neural networks and graphical models