Learn to build and continuously improve machine learning models with Data Scientist Harsha Viswanath, who will cover problem formulation, exploratory data analysis, feature engineering, model training, tuning and debugging, as well as model evaluation and productionizing.
In this course, you will learn to:
• Build and continuously improve machine learning models
• Learn about problem formulation
• Learn about exploratory data analysis
• Learn about feature engineering
• Learn about model training
• Learn about model tuning and debugging
• Learn about model evaluation and productionizing
This course is intended for:
• Anyone interested in data science
• Anyone interested in machine learning
• Data science professionals
• Machine learning professionals
Time
8 Hours
Quizes
6
Level
Intermediate
Languiage
English
Category
Amazon Web Services
Course Syllabus
12 lessons, 8 hours total length
- Introduction to The Elements of Data Science
- What is Data Science?
- Knowledge Check 1
- Problem Formulation and Exploratory Data Analysis
- Knowledge Check 2
- Data Processing and Feature Engineering
- Knowledge Check 3
- Model Training, Tuning, and Debugging
- Knowledge Check 4
- Model Evaluation and Model Productionizing
- Knowledge Check 5
- The Elements of Data Science: In Summary
Reviews
There are no reviews yet.