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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Notes
Notes
 
 
__pycache__
__pycache__
 
 
readonly
readonly
 
 
Assignment 1.ipynb
Assignment 1.ipynb
 
 
Assignment 2.ipynb
Assignment 2.ipynb
 
 
Assignment 3.ipynb
Assignment 3.ipynb
 
 
Assignment 4.ipynb
Assignment 4.ipynb
 
 
Classifier Visualization.ipynb
Classifier Visualization.ipynb
 
 
CommViolPredUnnormalizedData.txt
CommViolPredUnnormalizedData.txt
 
 
Module 1.ipynb
Module 1.ipynb
 
 
Module 2.ipynb
Module 2.ipynb
 
 
Module 3.ipynb
Module 3.ipynb
 
 
Module 4.ipynb
Module 4.ipynb
 
 
README.md
README.md
 
 
Unsupervised Learning.ipynb
Unsupervised Learning.ipynb
 
 
addresses.csv
addresses.csv
 
 
adspy_shared_utilities.py
adspy_shared_utilities.py
 
 
adspy_temp.dot
adspy_temp.dot
 
 
fraud_data.csv
fraud_data.csv
 
 
fruit_data_with_colors.txt
fruit_data_with_colors.txt
 
 
local.ipynb
local.ipynb
 
 
mushrooms.csv
mushrooms.csv
 
 
notebook.tar.gz
notebook.tar.gz
 
 
requirements.txt
requirements.txt
 
 
test.csv
test.csv
 
 
train.csv
train.csv
 
 

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Applied Machine Learning course by Michigan University

These are the materials that I used and developed during the course. I gave my first steps on AI and I learnt a lot. I hope you find this entertaining and useful :)

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