Name | Size | Last Modified |
|---|---|---|
| 4 Titanic EDA(final) and Modelling.ipynb | 2.1 MB | |
| 5 Employee_Appraisal_Regression_Analysis.ipynb | 178.9 KB | |
| Common Hypothesis Tests.ipynb | 12.6 KB | |
| Crop_recommendation.csv | 150 KB | |
| DAY 5 Understanding Simple Linear Regression .ipynb | 104 KB | |
| Day 1 Mathematical Analysis in Python.ipynb | 407.2 KB | |
| Day 1 Stats Basics.ipynb | 1.1 MB | |
| Day 2 Numpy.ipynb | 508 KB | |
| Day 2 Pandas .ipynb | 248 KB | |
| Day 3 Pandas Lab.ipynb | 8.3 KB | |
| Day 4 Data Modelling on Crop Growth Prediction.ipynb | 3 MB | |
| Day 4 Data Visualization.ipynb | 1 MB | |
| Day 5 Linear Regression using Python.ipynb | 695.7 KB | |
| Day1 Python for Data Science.ipynb | 668.8 KB | |
| Exam_Score.xlsx | 11.4 KB | |
| Exam_data.xlsx | 22.3 KB | |
| Exam_data2.xlsx | 15.7 KB | |
| Examples Hypothesis Testing .ipynb | 11.1 KB | |
| Lab 4 EDA on Crop Growth Prediction.ipynb | 3.3 MB | |
| NewData.csv | 125 bytes | |
| Numpy Lab Day 2.ipynb | 2 KB | |
| Student Performance.xlsx | 11.2 KB | |
| admission.xlsx | 11.2 KB | |
| appraisal_dataset.csv | 21.9 KB | |
| canadian_im.csv | 34.8 KB | |
| car_price_prediction.csv | 2.2 MB | |
| dummp | 1 bytes | |
| technology_trends.csv | 319.1 KB |
