In this course, we are going to focus on pre-processing techniques for machine learning . Pre-processing is the set of manipulations that transform a raw dataset to make it used by a machine learning model . It is necessary for making our data suitable for some machine learning models, to reduce the dimensionality, to better identify the relevant data, and to increase model performance. It’s the most important part of the machine learning pipeline and it’s strongly important to strongly consider the use of the scikit-learn library in this course . What you’ll learn in Data Pre-Processing for Machine Learning in Python will be taught in Python .API quota exceeded. You can make 500 requests per day.
Who this course is for:
Python developers
Aspiring data scientists
People interested in machine learning and artificial intelligence
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Data pre-processing for Machine Learning in Python free download
