| Day1 ARM 2.ipynb | 10.5 KB | |
| Cust_Segmentation.xlsx | 56.4 KB | |
| Day 1 Lab to understand ARM terms.ipynb | 6.1 KB | |
| Day 2 EDA on Women purchasing pattern.ipynb | 1.2 MB | |
| Day 2.1 Quick Revision ARM(Association rule minning).ipynb | 3.8 MB | |
| Day 2.2 Understanding K-means and Use case (Customer Segmentation ).ipynb | 458.8 KB | |
| Day 3 Hierarchical-Clustering.ipynb | 1.4 MB | |
| Day 4 Principal Component Analysis (PCA).ipynb | 423.8 KB | |
| Day1 ML Introduction treating a Data Set.ipynb | 2 MB | |
| Groceries.csv | 1.1 MB | |
| Hierarchical-Clustering.ipynb | 588.8 KB | |
| Introduction to Unsupervised Machine Learning .ipynb | 442.8 KB | |
| Lab 3 Day 2 .3 Women purchasing pattern using K-Means.ipynb | 1.4 MB | |
| OnlineRetail.csv | 25.3 MB | |
| Pre-Learning/ | - | |
| Women.csv | 8.4 MB | |
| all_seasons.csv | 1.8 MB | |
| cars_clus.csv | 17.7 KB | |
| dummy | 1 bytes | |
| order_data.csv | 876 bytes | |
