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Preparing Data for Machine Learning Models
  • Level Intermediate
  • Duration 3 hours
  • Offered by

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By the end of this project, you will extract colors pixels as training dataset into a form where you can feed it to your Machine Learning Model using numpy arrays. In this project we will work with images, you will get introduced to computer vision basic concepts. Moreover, you will be able to properly handle arrays and preprocess your training dataset and label it. Extracting features and preparing data is a very crucial task as it influences your model. So you will start to learn the basics of handling the data into the format where it would be accepted by a Machine Learning algorithm as Training Dataset.

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"Preparing Data for Machine Learning Models" is an intermediate-level course in Data Science & AI, offered by Coursera. In this 180-minute course, you'll learn to extract color pixels and format them into numpy arrays for machine learning models. It is ideal for those looking to enhance their data preparation skills. The course is available for free.