Create README.md

Author: JeffWang0325

README.md

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+# DAT275X Principles of Machine Learning: Python Edition
+![](https://cdn1.bigcommerce.com/server3600/oum4qu/products/1083/images/3291/dat275__95555.1578340417.1280.1280.PNG?c=2)
+
+# ABOUT THIS COURSE 
+ 
+
+This course is part of the **Microsoft Professional Program Certificate in Data Science** and the **Microsoft Professional Program in Artificial Intelligence**. 
+
+Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.
+
+In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
+
+# WHAT YOU'LL LEARN
+ 
+
+After completing this course, you will be familiar with the following concepts and techniques:
+
+● Data exploration, preparation and cleaning  
+● Supervised machine learning techniques  
+● Unsupervised machine learning techniques  
+● Model performance improvement  
+# PREREQUISITES
+ 
+
+To complete this course successfully, you should have:
+
+● A basic knowledge of math  
+● Some programming experience – Python is preferred.  
+● A willingness to learn through self-paced study.  
+# COURSE SYLLABUS
+● Introduction to Machine Learning  
+● Exploring Data  
+● Data Preparation and Cleaning  
+● Getting Started with Supervised Learning  
+● Improving Model Performance  
+● Machine Learning Algorithms  
+● Unsupervised Learning  
+
+---
+# Contact Information:
+If you have any questions or suggestions about code, project or any other topics, please feel free to contact me and discuss with me. 😄😄😄
+
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