Udemy – Machine Learning in Python – Extras 2022-2

What you will learn in this course

• Pipelines and their benefits: You will learn how to automate the process of building machine learning models using pipelines.
• Building machine learning pipelines with Scikit-Learn and Spark NLP: You will work with two popular tools in the field of machine learning, Scikit-Learn and Spark NLP, and create powerful pipelines.
• Working with Imbalanced Data: You’ll learn different ways to deal with the unbalanced data problem that exists in many machine learning projects.
• Interpretation and explanation of models: Using tools like Lime and Eli5, you will make your machine learning models more interpretable.
• Detecting Bias and Unfairness in Models: Learn how to detect bias and unfairness in machine learning models.
• Online Machine Learning: You will learn about tools like Creme that are used for online machine learning.
• Best practices in data mining projects: You will get to know the best practices for conducting data mining projects.
• Deploying Models: You’ll learn how to deploy your machine learning models in real-world environments.
• Alternative Machine Learning Libraries: You will learn about other libraries like TuriCreate.
• Tracking Machine Learning Experiments: You will learn different ways to track machine learning experiments.

This course is suitable for people who

• Python developers and machine learning enthusiasts: People looking to learn more advanced concepts in machine learning.
• People interested in data mining and machine learning: People who want to gain a deeper understanding of the full cycle of a machine learning project.

Installation guide

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English subtitle

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