CS3481 Fundamentals of Data Science

Zoom meetings

Overview (Slides)
- TBQ: What is data mining?
- Tutorial 1
- Tutorial 2
- Corona Virus
Evaluation: The Problem of Overfitting (Slides)(Demo1)(Demo2)(Lecture 2 video)
- TBQ: How to evaluate the performance of a learning algorithm?
- Tutorial 3
Classification: Learning from Neighbors (Slides)
- TBQ: How to lazily learn well?
- Project 1
- Tutorial 4
Classification: Decision Tree Induction (Slides(Demo))
- TBQ: What is the best question that leads to the most informative answer?
- Tutorial 5
Classification: Rule-Based Classification (Slides)
- Tutorial 6
Classification: Ensemble Methods (Slides)
- TBQ: How to build a strong classifier out of weak classifiers?
- Tutorial 7
Quiz
- Tutorial 8 on Information Theory
- ITIP
Classification: Different Evaluation Metrics (Slides)
- TBQ: Is it good enough for a classifier to be accurate?
- Portable test for COVID19
- Tutorial 9
Cluster Analysis: Partitioning Methods (Slides)
Cluster Analysis: Hierarchical Methods (Slides)
- TBQ: How to group similar things together while separating dissimilar things apart?
- Tutorial 10
Cluster Analysis: Different Evaluation Metrics (Slides)
- TBQ: How to evaluate a clustering solution with/without ground truth?
- Tutorial 11
Frequent Pattern Analysis: Apriori Algorithm (Slides)
- TBQ: How to obtain frequent patterns efficiently and turn them into rules of thumb?

Han11
Witten11
Others
- See software tools for an instruction to clone/run the repository locally.
- See Courses from Lynda.com for online courses on using Python for data science.

Name		Name	Last commit message	Last commit date
.vscode		.vscode
Teachable Machine_files		Teachable Machine_files
assets		assets
.gitignore		.gitignore
.gitpod.Dockerfile		.gitpod.Dockerfile
.gitpod.yml		.gitpod.yml
CS3481_Biased_estimate.ipynb		CS3481_Biased_estimate.ipynb
CS3481_Coronavirus.ipynb		CS3481_Coronavirus.ipynb
CS3481_Information_Quantities_for_Decision_Tree.ipynb		CS3481_Information_Quantities_for_Decision_Tree.ipynb
CS3481_Project_1.ipynb		CS3481_Project_1.ipynb
CS3481_References.ipynb		CS3481_References.ipynb
CS3481_Tutorial_1.ipynb		CS3481_Tutorial_1.ipynb
CS3481_Tutorial_10.ipynb		CS3481_Tutorial_10.ipynb
CS3481_Tutorial_11.ipynb		CS3481_Tutorial_11.ipynb
CS3481_Tutorial_2.ipynb		CS3481_Tutorial_2.ipynb
CS3481_Tutorial_3.ipynb		CS3481_Tutorial_3.ipynb
CS3481_Tutorial_4.ipynb		CS3481_Tutorial_4.ipynb
CS3481_Tutorial_5.ipynb		CS3481_Tutorial_5.ipynb
CS3481_Tutorial_5_R.ipynb		CS3481_Tutorial_5_R.ipynb
CS3481_Tutorial_6.ipynb		CS3481_Tutorial_6.ipynb
CS3481_Tutorial_7.ipynb		CS3481_Tutorial_7.ipynb
CS3481_Tutorial_9.ipynb		CS3481_Tutorial_9.ipynb
CS3481_Unbiased_estimate.ipynb		CS3481_Unbiased_estimate.ipynb
LICENSE		LICENSE
README.md		README.md
Student helpers application Survey Student Analysis Report.csv		Student helpers application Survey Student Analysis Report.csv
Teachable Machine.html		Teachable Machine.html
index.html		index.html
metadata.json		metadata.json
model.json		model.json
model.weights.bin		model.weights.bin
models.bundle.js		models.bundle.js
slides-deck-1a342b.html		slides-deck-1a342b.html