NICF – Basic Machine Learning with Scikit-Learn Course

by Tertiary Courses

These are the exercise files used for NICF – Basic Machine Learning with Scikit-Learn Course course.

The course outline can be found in

https://www.tertiarycourses.com.sg/wsq-machine-learning-python-course.html

Day 1

Topic 1 Overview of Machine Learning and Scikit Learn

• Introduction to Machine Learning
• Supervised vs Unsupervised Learnings
• Machine Learning Applications and Case Studies
• What is Scikit Learn
• Installing Scikit-Learn

Topic 2 Classification

• What is Classification
• Applications of Classification
• Classification Algorithms
• Classification Workflow
• Confusion Matrix
• Classification Performance Evaluation

Topic 3 Regression

• What is Regression
• Applications of Regression
• Regression Algorithms
• Regression Workflow
• Regression Performance Evaluation

Day 2

Topic 4 Clustering

• What is Clustering
• Applications of Clustering
• Clustering Algorithms
• Clustering Workflow
• Clustering Performance Evaluation

Topic 5 Principal Component Analysis

• Introduction to Principal Component Analysis (PCA)
• Application of PCA
• PCA Workflow

Final Assessment

• Written Assessment (Q&A)
• Written Assessment (Case Study)
• Oral Questioning