Products
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An Introduction to Data Cleansing in Python
CourseA recent study from Kaggle determined that 80% of time data scientists and machine learning engineers spend their time cleaning data. This course is all about how to clean your data.
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SciKit-Learn in Python for Machine Learning Engineers
CourseIf you take this course from start to finish you'll know the core foundations of a machine learning library in Python called SciKit-Learn. This course is centered around building traditional machine learning models in SciKit-Learn.
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Data Visualization in Python for Machine Learning Engineers
CourseIn this course you are going to focus on data visualization and in Python that means we you going to be learning matplotlib and seaborn. Matplotlib is a Python package for 2D plotting that generates production-quality graphs.
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Applied Statistics for Machine Learning Engineers
CourseIn this course you'll learn applied statistics for machine learning. The course will focus on the knowledge of statistics you need for your machine learning projects. You'll be able to take what you've learned and apply it to your real-world problem
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A Complete Introduction to XGBoost
CourseIn competitive modeling and the real world, a group of algorithms known as gradient boosters has taken the world be storm. They've won almost every single competition in the structured data category. XGBoost is the king of these models.
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Acing the Machine Learning Engineering Interview
CourseIf you want to land a job as a machine learning engineer, you’ll need to pass a rigorous and competitive interview process. Most top companies will have a phone screen and at least two to three rounds of in-person interviews.