Machine Learning using Python

In this 2-day workshop, you will be introduced to Machine Learning using Python. You will learn about the various libraries used in Python for machine learning, as well as the fundamental principles of some common machine learning algorithms. 

What is Machine Learning?

Types of Machine Learning Algorithms

•  Classification 

• Anomaly Detection

• Regression 

• Clustering 

• Reinforced Learning

What is Predictive Analytics? 

Introduction to Machine Learning using Python

Using Machine Learning Algorithms in Python

• Linear Regression 

• Logistics Regression 

• Naïve Bayes 

• Decision Tree 

• Random Forest 

• Support Vector Machine 

• K-Nearest Neighbours (KNN) 

• K-Means 

 Projects o Predicting student performance 

• Detecting cancer 

• And more...

For developers who are venturing into Data Science using Pyhton.   You will learn about the various libraries used in Python for machine learning, as well as the fundamental principles of some common machine learning algorithms. 

• Basic programming experience

• Understanding of basic object-oriented programming concepts

Hardvare: Mac / Windows laptop

Software:Jupyter Notebook

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (http://www.learn2develop.net), a technology company specializing in hands-on training on the latest mobile technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming make understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine.