Name | Size | Last Modified |
|---|---|---|
| Analytics_Client_Churn_Capstone_Dataset.csv | 373 KB | |
| Decision Tree Pruning.ipynb | 4.2 KB | |
| Hiring_DecisionTree_CaseStudy.ipynb | 457.5 KB | |
| Hiringdataset.xlsx | 37.4 KB | |
| LAB WORK Pandas Data Preparation & EDA.ipynb | 14.1 KB | |
| Lab work Decision Tree.ipynb | 6.1 KB | |
| Logistic regression for Customer churn Prediction.ipynb | 143 KB | |
| Machine Learning and Implementation.ipynb | 2.9 MB | |
| Random Forest and Ensemble Learning.ipynb | 2.9 MB | |
| Random Forests .ipynb | 487.2 KB | |
| Understanding Decision Tree.ipynb | 207.5 KB | |
| Understanding Logistic regression.ipynb | 9.3 KB | |
| bodytype.csv | 2.5 KB | |
| customer_churn_synthetic.csv | 366.8 KB | |
| d | 1 bytes | |
| hiredata.csv | 22.4 KB | |
| retail_customer_dataset.csv | 191 KB |
