- Linear Regression demo
- Ridge Regression demo
- Gradient Descent demo
- Logistic Regression demo: Interesting one and a lot to deal with.
- Differential Privacy demo: path to the directory and run
python main.py
. Be careful about the dependencies. - Support vector Machine demo: Include complete pipeline and prediction code, could use AI to help generate client.
- Multi Layer Perceptron demo: California housing price prediction, build the simple NN with keras. I try to drop some seemed irrelevant feature columns and the performance improve. Next time I'll learn how to get information from the data visualization.
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DSAA 2011 (Machine Learning) Lecture Note I am still updating it.
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Differential Privacy The matetial for class presentation of DSAA 2290
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Support Vector Machine
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Word Embedding