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NICF – Basic Machine Learning with Scikit-Learn Course

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