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Update the TOC
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sjmiller8182 committed Apr 12, 2020
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"### Lab3 Project Requirments -\n",
"1. [Business understanding](#Businessunderstanding)\n",
" 1. [Describe the purpose of the data set you selected](#Assessthecurrentsituation)\n",
" 2. [Describe how you would define and measure the outcomes from the dataset](#CostBenefit)\n",
" 3. [How would you measure the effectiveness of a good prediction algorithm](#Desiredoutputs)\n",
" 2. [Describe how you would define and measure the outcomes from the dataset](#Requirements)\n",
" \n",
"2. [Data Understanding](#Dataunderstanding)\n",
" 1. [Describe the meaning and type of data for each attribute in the data file](#Describedata)\n",
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" 3. [Singular Vector Decomposition](#SVD)\n",
" 4. [Random Forest Leaf Embeddings](#RF)\n",
" 5. [Autoencoder Embeddings](#Autoencoder)\n",
" 6. [Cluster Interpretation](#ClustInp)\n",
" 2. [Association Rule Mining](#ARM)\n",
" \n",
" 1. [Itemsets of associated features from the Cluster 15](#Itemsets15)\n",
" 2. [Itemsets of associated features from the Cluster 19](#Itemsets19)\n",
"4. [Deployment](#Deployment)\n",
" 1. [How useful is your model for interested parties? ](#Useful)\n",
" 2. [How would you measure the model's value if it was used by these parties?](#Value)\n",
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"metadata": {},
"source": [
"### 1.1.2. Measuring the effectiveness of a good algorithm- <a class=\"anchor\" id=\"Requirements\"></a> \n",
"\n",
"#### 1. Effective Clustering Metric: Cluster Validity\n",
"\n",
"The raw dataset, `data`, contains 329 attributes for 307,511 loan applicants and a normalized dataset, `data_std`, consists of 260 attributes for the same 307,511 records. We seek to explore the data to find meaningful clusters using as much of the available data as possible. Our dataset is substantial in size, which presents time and memory constraints that we will address throughout the analysis. \n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Cluster Interpretation"
"### Cluster Interpretation <a class=\"anchor\" id=\"ClustInp\"></a>"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Itemsets of associated features from the 15th cluster:"
"### Itemsets of associated features from the Cluster 15 <a class=\"anchor\" id=\"Itemsets15\"></a>"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"### Itemsets of associated features from the 19th cluster:"
"### Itemsets of associated features from the Cluster 19 <a class=\"anchor\" id=\"Itemsets19\"></a>"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.6.9"
}
},
"nbformat": 4,
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