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:

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