Commit 0bc96f0e authored Feb 15, 2022 by Nathaniel Callens

research wavelets

parents 482eeae2 dab8da9d

.DS_Store

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.ipynb_checkpoints/Untitled-checkpoint.ipynb

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.ipynb_checkpoints/multiple_compression_kelly-checkpoint.ipynb

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.ipynb_checkpoints/prediction_MSE_kelly-checkpoint.ipynb

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		},
		{
		"cell_type": "code",
		<<<<<<< HEAD:.ipynb_checkpoints/prediction_MSE_kelly-checkpoint.ipynb
		"execution_count": 52,
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		"execution_count": 43,
		>>>>>>> e4df997c1a14994e77600c8c4e3e1a2ec84ff59e
		>>>>>>> 2350ec9881b7954dc94449b36af098af82acbb95:.ipynb_checkpoints/prediction_MSE-checkpoint.ipynb
		"id": "fa65dcd6",
		"metadata": {},
		"outputs": [

Untitled.ipynb

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		%% Cell type:code id:8868bc30 tags:

		``` python
		import numpy as np
		import matplotlib.pyplot as plt
		import seaborn as sns
		```

		%% Cell type:code id:76317b02 tags:

		``` python
		data = [2,3,3,4,2,1,5,6,4,3,3,3,6,4,5,4,3,2]
		density = kde.gaussian_kde(data)
		x = np.linspace(-2,10,300)
		y=density(x)

		sns.kdeplot(data,bw=0.25)
		plt.show()
		```