FREE Course - Practical Data Science & Machine Learning Projects Course

What you’ll learn

Build Best Performing Machine Learning Models
Have a great intuition of many data science models
Learn how to build data science models
Make robust data science models

Basically, the machine learning process includes these stages:

Feed a machine learning algorithm examples of input data and a series of expected tags for that input.
The input data is transformed into text vectors, an array of numbers that represent different data features.
Algorithms learn to associate feature vectors with tags based on manually tagged samples, and automatically makes predictions when processing unseen data.

How to Enroll Practical Data Science & Machine Learning Projects Course course?

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How many members can access this course with a coupon?

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