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VictorNas / DV0101EN-1-1-1-Introduction-to-Matplotlib-and-Line-Plots-py-v2.0.ipynb
Created March 25, 2019 05:33
Created on Cognitive Class Labs
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VictorNas / Lab- Loading Data and Viewing Data.ipynb
Created March 25, 2019 17:29
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VictorNas / PY0101EN-5-1-Numpy1D.ipynb
Created March 25, 2019 17:59
Created on Cognitive Class Labs
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VictorNas / PY0101EN-5-2-Numpy2D.ipynb
Created March 25, 2019 18:14
Created on Cognitive Class Labs
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VictorNas / DV0101EN-2-2-1-Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb
Created March 28, 2019 21:33
Created on Cognitive Class Labs
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VictorNas / DV0101EN-2-3-1-Pie-Charts-Box-Plots-Scatter-Plots-and-Bubble-Plots-py-v2.0.ipynb
Created April 1, 2019 23:54
Created on Cognitive Class Labs
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VictorNas / DV0101EN-3-4-1-Waffle-Charts-Word-Clouds-and-Regression-Plots-py-v2.0.ipynb
Created April 2, 2019 03:25
Created on Cognitive Class Labs
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VictorNas / find_epsilon.py
Created April 29, 2020 17:45
Epsilon DBSCAN
def find_epsilon(matrix, min_samples):
"""
Automatically find epsilon hyperparameter necessary to run DBSCAN.
Args:
matrix (numpy array): Matrix embbeding. Each row represents a product title in form of a vector.
min_samples(int): Should be the same value of the min_samples hyperparameter used in DBSCAN.
Returns:
return eps(float): Value of episilon hyperparameter.
"""