2021 is the second year INF428/528 has been taught online. The course continues to evolve. We will re-use some of the videos from last year as needed, and I will produce new videos based on questions I get. So please, if you have any questions post right away to the “ask a question” forum. If the question can’t be answered concisely it will become a video.
Some tips on how to find videos, github desktop and Jupyter notebook
Loading Sports Stats from the ‘reference.com’ sites
Some tips for Module 2 Assignment, and an example about a hypothetical Covid Vaccine
KNIME T-test (From last year but still helpful for assignment 2)
Some helpful tips on Github and Confidence Intervals, relevant for Assignment 2
Conditional Indexing with Covid data
Trouble shooting for assignment 3
Write a csv from Python, read it from KNIME (useful for assignment 3)
Heatmaps and converting categorical data to numeric (Advanced)
Heatmaps and barcharts in KNIME (Intermediate)
Visualize Time Series with KNIME
Visualizing data using KNIME javascript nodes
Visualizing data using Python, Matplotlib, and Pandas
Bayes Rule and Naive Baye’s with KNIME
Hints on converting string data to numeric for assignment 5
2020 is the first year INF428/528 has been taught online, and it has been a learning experience for myself as to the best way to teach material. I have been adding videos as needed based on questions I get. I will continue to do so (if you are struggling with something ask, and I will make a video) and summarize them here.
Oh yeah… to top it all off, all of a sudden we also got hit by a pandemic and everybody’s life got disrupted a bit (this class was online anyway so I guess we’ve been disrupted less than others). Stay safe.
Python help + Python barplots for groups
Visualize Time Series with KNIME
Cleaning numerical data (Adirondack Mountain data)
Machine Learning Terminology
Machine Learning with KNIME
Machine Learning Metrics
Machine Learning with Python
Bayes Rule and Naive Baye’s with KNIME
Self Prediction