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Sameer Ganesh Shinde's Projects

clx icon clx

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

data-structures icon data-structures

Algorithmic Problems Solutions -- hash table code featured in geeksforgeeks

deep-residual-networks-using-exponential-linear-unit icon deep-residual-networks-using-exponential-linear-unit

• Designed deep residual learning model with exponential linear unit for image classification with higher accuracy. • Decreased the error rate to 5.62% and 26.55% on CIFAR-10 and CIFAR-100 datasets respectively which outpaced the most competitive approaches previously published. • Published research paper for the same on 21th Sept 2016 at ACM conference.

knight-tour-problem icon knight-tour-problem

Devised an algorithm as a part of individual project using a* search to solve knight problem to help knight (On chess board) reach from one location to any other location with shortest moves.

min.ai icon min.ai

This version of Minesweeper is based on the classic computer game. You can easily find out the details of the game from the web, for example: https:// en.wikipedia.org/wiki/Minesweeper_(video_game) However, there are a few differences designed to better evaluate your agent which will become apparent as you play with and familiarize yourself with the game. In Minesweeper, you are given a board that is set up as a 2D grid of tiles. Each tile covers either: (1) a hint number ( that tells how many mines are around that tile ) or (2) a mine. Ultimately, your agent’s goal is to uncover all tiles which do not contain a mine. A more concrete definition of the game is given by the following PEAS description.

smart-gardening-using-iot-and-ms-azure-machine-learning icon smart-gardening-using-iot-and-ms-azure-machine-learning

In this project we aim to build a smart gardening system that is capable of fine tuning the various parameters necessary for the healthy growth of the plant and monitor it continuously so as to provide the perfect environment that it required for the best results.

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