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A repo with homeworks and labs from a course on applied stats taken by me during my bachelor's degree in MIPT, Ru. Course authors: Andrii Hraboviy, @andriygav and Oleg Bakhteev, @bahleg.

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🚀 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!

AppliedStats logo

🛠 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:

🛤 Progress

Homeworks:
Homeworks

Labs:
Labs

🏁 Finally

Total grade:
T0t4l gr4d3

About

A repo with homeworks and labs from a course on applied stats taken by me during my bachelor's degree in MIPT, Ru. Course authors: Andrii Hraboviy, @andriygav and Oleg Bakhteev, @bahleg.

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