Path: tree/master/Data Science Essentials for Data Analysts
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Name | Size | Last Modified |
|---|---|---|
| 1.1 Data Science Overview and WorkFlow.ipynb | 77.4 KB | |
| 1.2 Python basics for Data Science.ipynb | 30.2 KB | |
| 1.3 Stats Basics.ipynb | 1.1 MB | |
| 2.1 Numpy.ipynb | 494.5 KB | |
| 2.2 Numpy Lab .ipynb | 6.4 KB | |
| 2.3 Pandas .ipynb | 248.1 KB | |
| 2.4 Pandas Lab.ipynb | 8.3 KB | |
| Appraisal_Reference_Data.csv | 246.8 KB | |
| Case Study Job Skill Analysis.ipynb | 562.5 KB | |
| Data Modelling using Linear regression .ipynb | 314.4 KB | |
| Day1 ML Introduction treating a Data Set.ipynb | 1.7 MB | |
| EDA Report Technology Trends .ipynb | 677.4 KB | |
| Logistic Regression.ipynb | 70.6 KB | |
| admission_data.csv | 1.8 KB | |
| job_skills_data.csv | 486.2 KB | |
| technology_trends.csv | 319.1 KB | |
| text | 1 bytes |