🚀 AppliedStats

Here I gather my homeworks on Applied Statistics. Later I will add my hw's from Avito Analytics Academy.

Feel free to 🌟 the repo!

🛠 Requirements

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.

⏳ Quick Start

Just install jupyter notebook and have fun.

🗺 Roadmap

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;

🛤 Progress

Homeworks:

Labs:

🏁 Finally

Total grade: