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Lab works on Information Processes Analysis subject. Taught on 1st sem of applied mathematics master programm.

Jupyter Notebook 98.03% Python 1.97%
pandas schelling-model graph-algorithms graph-centrality-prediction nearest-neighbors nearest-neighbor-search parsing knn knearest-neighbor-algorithm schelling mai-labs

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Information_Processes_Analysis

Lab works on Information Processes Analysis subject. Taught on 1st sem of applied mathematics master programm.

Uni: Moscow Aviation Institute

Group: M8O-111M-20

Tutor: Sudakov V.A. @sudakov

Covered themes:

  • Implementation of KNearestNeighbors model on Moscow subway map -- nearest_neighbors folder
  • Calculation of graph centrality nodes with application on Vkontakte fried list -- graph_centrlity folder
  • Implementation of Schelling's model -- schelling's_model folder
  • Dedicated work for building pandas skills with EDA on several datasets -- airplane_EDA folder

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