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datasets
datasets
 
 
1-intro-to-linear-algebra.ipynb
1-intro-to-linear-algebra.ipynb
 
 
6-statistics.ipynb
6-statistics.ipynb
 
 
Analysing Interactions with SHAP.ipynb
Analysing Interactions with SHAP.ipynb
 
 
Applying Artificial Neural Networks (ANNs) for Linear Regression.ipynb
Applying Artificial Neural Networks (ANNs) for Linear Regression.ipynb
 
 
Decision Trees and Random Forests.ipynb
Decision Trees and Random Forests.ipynb
 
 
Detect outliers.ipynb
Detect outliers.ipynb
 
 
Detect outliers.py
Detect outliers.py
 
 
Dim_Reduction_AutoEnc.py
Dim_Reduction_AutoEnc.py
 
 
Dimensionality Reduction .ipynb
Dimensionality Reduction .ipynb
 
 
H2O_example.ipynb
H2O_example.ipynb
 
 
H2O_testing.ipynb
H2O_testing.ipynb
 
 
How to make better plots.ipynb
How to make better plots.ipynb
 
 
Intro_Autoencoders.py
Intro_Autoencoders.py
 
 
Multiclass Classification Tutorial Pycaret.ipynb
Multiclass Classification Tutorial Pycaret.ipynb
 
 
NLP_pycaret.py
NLP_pycaret.py
 
 
Naive Bayes Classification.ipynb
Naive Bayes Classification.ipynb
 
 
Outlier detection kNN Example and Isolation Forest.ipynb
Outlier detection kNN Example and Isolation Forest.ipynb
 
 
Outlier detection kNN Example and Isolation Forest.py
Outlier detection kNN Example and Isolation Forest.py
 
 
PyOD Outlier detection comparison models.ipynb
PyOD Outlier detection comparison models.ipynb
 
 
PyOD Outlier detection comparison models.py
PyOD Outlier detection comparison models.py
 
 
README.md
README.md
 
 
TensorFlow_2_0_in_10_minutes.ipynb
TensorFlow_2_0_in_10_minutes.ipynb
 
 
Test Significance in Python.ipynb
Test Significance in Python.ipynb
 
 
dask_dataframes.ipynb
dask_dataframes.ipynb
 
 
helpers_05_08.py
helpers_05_08.py
 
 
practice_napari.ipynb
practice_napari.ipynb
 
 
practice_sklearn.ipynb
practice_sklearn.ipynb
 
 
ratings.csv
ratings.csv
 
 
scrap_sites.py
scrap_sites.py
 
 
segment_2D_napari.ipynb
segment_2D_napari.ipynb
 
 
shallow_net_in_keras.ipynb
shallow_net_in_keras.ipynb
 
 
shapley_test.ipynb
shapley_test.ipynb
 
 
test_pyclesperanto.ipynb
test_pyclesperanto.ipynb
 
 
testing_MultiMAP.ipynb
testing_MultiMAP.ipynb
 
 
turicreate_demo.py
turicreate_demo.py
 
 

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Learning_AI

I am using this repository to refresh and improve my AI skills, using diverse sources that are publicly available or part of courses I was/am enrolled.

Credit for original content is always provided. Of course I make some modifications when necessary.

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