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dlab-berkeley
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Python-Machine-Learning
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
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Confusion matrix in # 1_classification.ipynb
#20
kazutoki-m
closed
3 years ago
0
Summer 2021 python-machine-learning Workshop Updates
#19
seanmperez
closed
3 years ago
0
replaced iris dataset with breast cancer dataset
#18
AshQTan
closed
2 years ago
0
Rename Repo to "Python Introduction to Machine Learning: Parts 1-2"
#17
jvallentine1211
closed
3 years ago
0
Python - machine learning Updates
#16
mariepelagie
closed
2 years ago
0
Part 4: TPOT
#15
emilygrabowski
closed
2 years ago
0
Part 3: Clustering
#14
emilygrabowski
opened
3 years ago
0
Part 2: Regression
#13
emilygrabowski
closed
2 years ago
1
Part 1: Classification
#12
emilygrabowski
closed
2 years ago
2
Re-organize and simplify slides
#11
emilygrabowski
closed
3 years ago
0
Regression suggestions
#10
brooksjessup
closed
2 years ago
1
Classification suggestions
#9
brooksjessup
closed
2 years ago
2
Slide deck suggestions
#8
brooksjessup
closed
2 years ago
1
Add a Readme
#7
brooksjessup
closed
3 years ago
2
Simplify initial demonstration of models by using default parameter settings
#6
brooksjessup
closed
2 years ago
0
GridSearch parameter deprecation: iid
#5
brooksjessup
closed
2 years ago
0
Estimators vs Transformers
#4
brooksjessup
closed
2 years ago
1
It is time to retire the iris dataset...
#3
EastBayEv
closed
2 years ago
0
Consider log-spaced grid search arrays instead of equal-spaced ones
#2
EastBayEv
closed
2 years ago
1
sensitivity/specificity slide definitions switched?
#1
EastBayEv
closed
3 years ago
0
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