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Building-and-Deploying-a-Machine-Learning-Models-Using-Gradio-Application
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Building-and-Deploying-a-Machine-Learning-Models-Using-Gradio-Application
1 contributor
History:
2 commits
Justin-J
Added my Project files, deployed my Gradio application.
22007d6
over 1 year ago
.gitattributes
Safe
1.52 kB
initial commit
over 1 year ago
README.md
Safe
307 Bytes
initial commit
over 1 year ago
app.py
Safe
3.63 kB
Added my Project files, deployed my Gradio application.
over 1 year ago
data.csv
Safe
1.19 MB
Added my Project files, deployed my Gradio application.
over 1 year ago
encoder.pkl
pickle
Detected Pickle imports (5)
"sklearn.preprocessing._encoders.OneHotEncoder"
,
"numpy.float64"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
1.61 kB
LFS
Added my Project files, deployed my Gradio application.
over 1 year ago
model.pkl
pickle
Detected Pickle imports (7)
"numpy.ndarray"
,
"numpy.dtype"
,
"numpy.core.multiarray.scalar"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.tree._tree.Tree"
,
"sklearn.ensemble._forest.RandomForestClassifier"
How to fix it?
4.74 MB
LFS
Added my Project files, deployed my Gradio application.
over 1 year ago
requirements.txt
Safe
26 Bytes
Added my Project files, deployed my Gradio application.
over 1 year ago
scaler.pkl
pickle
Detected Pickle imports (5)
"numpy.ndarray"
,
"numpy.core.multiarray.scalar"
,
"numpy.dtype"
,
"numpy.core.multiarray._reconstruct"
,
"sklearn.preprocessing._data.StandardScaler"
How to fix it?
698 Bytes
LFS
Added my Project files, deployed my Gradio application.
over 1 year ago