Preprocessing for Machine Learning in Python

Starting at USD 39.00
4 hours duration

In this course you'll learn how to get your cleaned data ready for modeling.

This course provides a comprehensive understanding of the fundamental concepts and techniques involved in data preprocessing. Data preprocessing is a crucial stage in machine learning projects, as it involves preparing the data for modeling. It bridges the gap between importing and cleaning the data and fitting the machine learning model. Throughout this course, you will acquire the skills to standardize the data, ensuring it is in the appropriate format for your model. Additionally, you will learn how to create new features that effectively utilize the information within your dataset. Furthermore, you will gain expertise in selecting the most relevant features to enhance the accuracy of your model. To reinforce your understanding, you will engage in practical exercises involving the preprocessing of a UFO sightings dataset, preparing it for modeling.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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