Clustering & Classification With Machine Learning In Python

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In Python

Created by: Minerva Singh
Bestselling Instructor & Data Scientist(Cambridge Uni)

What Will I Learn?

• Harness The Power Of Anaconda/iPython For Practical Data Science
• Read In Data Into The Python Environment From Different Sources
• Carry Out Basic Data Pre-processing & Wrangling In Python
• Implement Unsupervised/Clustering Techniques Such As k-means Clustering
• Implement Dimensional Reduction Techniques (PCA) & Feature Selection
• Implement Supervised Learning Techniques/Classification Such As Random Forests In Python
• Neural Network & Deep Learning Based Classification

Requirements

• Be Able To Operate & Install Software On A Computer
• Prior Exposure To Common Machine Learning Terms Such As Unsupervised & Supervised Learning

Target audience

• Students Interested In Getting Started With Data Science Applications In The Python Environment
• People Wanting To Master The Anaconda iPython Environment For Data Science & Scientific Computations
• Students Wishing To Learn The Implementation Of Unsupervised Learning On Real Data Using Python
• Students Wishing To Learn The Implementation Of Supervised Learning (Classification) On Real Data Using Python
• Students Looking To Get Started With Artificial Neural Networks & Deep Learning