Here I gather my homeworks on Applied Statistics. Later I will add my hw's from Avito Analytics Academy.
Feel free to ๐ 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 notebook
Other 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 โ basic EDA methods;
- HW2 โ parametric hypothesis tests;
- HW3 โ non-parametric hypothesis tests;
- HW4 โ multiple hypothesis testing;
- HW5 โ correlation analysis;
- HW6 โ dispersion analysis;
- HW7 โ regression analysis;
- HW8 โ generalized regression;
- HW9 โ time series analysis;
- HW10 โ sequential analysis;
- HW12 โ Markov models;
Labs:
- Lab1 โ first lab;
- Parsed list of lab1 emails;
- Lab2 โ first lab;
- Parsed list of lab2 emails;