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memory-optimization

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Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

  • Updated Jun 27, 2024
  • Jupyter Notebook

An extension of micro mouse on WEBOTS using the flood filled algorithm, A star, Dijkstra’s and Breadth first search algorithm for moving the E-puck robot from start to goal in an NxM sized maze whose map was unknown to the robot (mapping and path planning). Further, leveraged Error Correction for accurate turning and recursive Backtracking algor…

  • Updated Jun 22, 2021
  • C++

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