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
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
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