Hands-On Machine Learning with scikit-learn and Python
GET UDEMY COURSE
What you'll learn Machine Learning with scikit-learn and Python Python programming Basic math knowledge or willingness to learn fast
Android Machine Learning with TensorFlow lite in Java/Kotlin
You keep hearing about machine learning and artificial intelligence and how they revolutionize the world we live in. You want to learn more. You're in the right place.
You have basic understanding of Python and you are decent in math. Better!
You're going to learn hands-on machine learning with scikit-learn, a Python library for machine learning. Since this is a hands-on course, you will be working your way through with Python and Jupyter notebooks.
Who this course is for:
- You want to get into machine learning and artificial intelligence
- You already work in ML/AI and need to learn to program basic algorithms in Python with scikit-learn
- You are a student, know a bit of coding, and want to get into ML/AI
- You are a programmer and want to smoothly transition into ML/AI
This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow
Understand and implement the best Machine Learning practices with the help of powerful features of Python and scikit-learn.