Here I gather my homeworks on Applied Statistics. Later I will add my hw's from Avito Analytics Academy.
Feel free to 🌟 the repo!
You should have a Scikit-learn package preinstalled. Also pandas is needed. You should launch all the notebooks using jupyter notebook.
pip install numpy scipy pandas matplotlib ipython notebookOther packages install-scripts are in front of the notebooks.
Just install jupyter notebook and have fun.
Here there will be two main folders: MIPT applied stats folder and AVITO sometimes.
In the MIPT folder you can find my homeworks and labs:
Homeworks:
- HW1 — basic EDA methods;
- HW2 — parametric hypothesis tests;
- HW3 — non-parametric hypothesis tests;
- HW4 — multiple hypothesis testing;
- HW5 — correlation analysis;
- HW6 — dispersion analysis;
- HW7 — regression analysis;
- HW8 — generalized regression;
- HW9 — time series analysis;
- HW10 — sequential analysis;
- HW12 — Markov models;
Labs:
- Lab1 — first lab;
- Parsed list of lab1 emails;
- Lab2 — first lab;
- Parsed list of lab2 emails;
Homeworks:
Labs:
Total grade: