Advanced Predictive Techniques with Scikit-Learn and TensorFlow
In this course, you will find many advanced methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce more powerful models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.
Offered by
Difficulty Level
Intermediate
Completion Time
3h44m
Language
English
About Course
Who Is This Course For?
The course is for data analysts or data scientists, software engineers, and developers interested in learning advanced Predictive Analytics with Python. Business analysts/business Intelligence experts who would like to learn how to go from basic predictive models to building advanced models to produce better predictions will also find this course indispensable. Knowledge of Python and familiarity with its Data Science Stack are assumed. Additionally, an understanding of the basic concepts of predictive analytics and how to use basic predictive models is also necessary to take full advantage of this course.
Advanced Predictive Techniques with Scikit-Learn and TensorFlow
- About Course
- Who Is This Course For?
- Course Content
Course content
lessons • 3h44m total length
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