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MLE_ND_P9_SMC.html
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MLE_ND_P9_SMC.html
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<!DOCTYPE HTML>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<title>MLE_ND_P9_SMC</title>
<script src="https://sagecell.sagemath.org/static/embedded_sagecell.js"></script>
<script>$(function () {
sagecell.makeSagecell({inputLocation:'div.linked',linked:true,evalButtonText:'Run Linked Cells'});
sagecell.makeSagecell({inputLocation:'div.sage',evalButtonText:'Run'});});
</script>
</head>
<style>
@import url('https://fonts.googleapis.com/css?family=Orbitron|Roboto');
body {margin:5px 5px 5px 15px; }
.sagecell .CodeMirror-scroll {min-height:3em; max-height:30em;}
</style>
<body>
<h1>Machine Learning Engineer Nanodegree</h1>
<h3>Code Library</h3>
<div class="linked"><script type="text/x-sage">
#unlock to install modules
#!python3 -m pip install keras --user
#!python3 -m pip install --ignore-installed --upgrade tensorflow==1.14.0
</script></div><br/>
<div class="linked"><script type="text/x-sage">
spath='/home/sc_work/.sage/local/lib/python3.7/site-packages'
import sys; sys.path.append(spath)
import warnings; warnings.filterwarnings("ignore")
from sklearn.exceptions import DataConversionWarning
warnings.filterwarnings("ignore",category=DataConversionWarning)
import os,zipfile,numpy as np,pandas as pd,scipy as sc
import pylab as pl,seaborn as sn,sympy as sp,keras as ks
pl.style.use('seaborn-whitegrid')
</script></div><br/>
<h3>Additional Code Cell</h3>
<div class="linked"><script type="text/x-sage">
</script></div><br/>
</body>
</html>