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Priyatham Sai Chand 2022-12-10 01:08:13 -08:00
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clustering-customer-personality-analysis(1).ipynb
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@ -2,80 +2,10 @@
"cells": [
{
"cell_type": "markdown",
"id": "b9181d5d",
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"id": "1da8b92c",
"metadata": {},
"source": [
"# Section of the Notebook"
]
},
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"source": [
"1) **Choice of Metrics** \n",
"2) **Library import & Dataset** \n",
"3.1) **Feature generation** \n",
"3.2) **Data cleaning** \n",
"3.3) **Data scaling (Normalization | Standardization)** \n",
"4) **Dimensionality reduction** \n",
"5) **Clustering** \n",
"6) **Business Recommendations** "
]
},
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"source": [
"## Selection of Metrics"
]
},
{
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"source": [
"There are various metrics for clustering, for example:\n",
"* Silhouette coefficient \n",
"* Calinski-Harabasz Index \n",
"* Davies-Bouldin Index"
"# Performing Psychographic Segmentation Based on Customer Behaviour"
]
},
{
@ -1589,7 +1519,7 @@
{
"cell_type": "code",
"execution_count": 25,
"id": "dd44db07",
"id": "2d151e22",
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@ -2257,7 +2187,7 @@
{
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{
@ -2469,23 +2399,6 @@
"graph_builder()"
]
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{
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"tags": []
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"source": [
"## 6) Business Recommendations"
]
},
{
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"id": "3804fd18",