Engineering and Technology
Learn how to prepare and organize your data for predictive analytics.
In order to achieve successful model building, it is imperative to begin with a solid foundation in the form of a well-constructed base table. This course aims to equip you with the necessary skills to create a robust base table, effectively generate variables, and appropriately prepare your data for modeling purposes. Additionally, we will delve into advanced topics related to this subject matter, further enhancing your understanding and expertise.
by DataCamp
Learn how to prepare and organize your data for predictive analytics.
by DataCamp
Learn how to explore, visualize, and extract insights from data.
by DataCamp
Improve your Python data importing skills and learn to work with web and API data.
by DataCamp
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this inter...
by DataCamp
Build multiple-input and multiple-output deep learning models using Keras.
by DataCamp
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-bas...
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Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world us...
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Learn how to clean data with Apache Spark in Python.
by DataCamp
Master the complex SQL queries necessary to answer a wide variety of data science questions and prep...
by DataCamp
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples,...