This repository contains Python notebooks that cover basic statistics required in data science. This notebook will later include implementations of some machine learning algorithms as well.
| SNo. | Topic | Link to the page |
|---|---|---|
| 0 | Central Tendencies and Dispersion | Link |
| 1 | Covariance and Correlation | Link |
| 2 | Probability | Link |
| 3 | Distributions | Link |
| 4 | Confidence Intervals | Link |
| 5 | Hypothesis Testing | Link |
| 6 | Chi-Square Test and ANOVA | Link |
- Data Science from Scratch
- Practical Statistics for Data Scientists
- Kaggle Notebooks from Greg Hamel
- Wikipedia (Obviously)