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accuracy-analysis

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🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

  • Updated Dec 4, 2024
  • Python

This is implementation of customized bio-inspired algorithms for hyperparameter tuning of a custom-ANN, space and time complexity analysis of those bio inspired algos viz. ant-colony (contributed by me), swarm-bee and genetic algo and to compare their accuracies. ANN classifies if patient is prone to heart disease

  • Updated Jul 6, 2023
  • Jupyter Notebook

Study and Implementation of various neural network pruning techniques. Extending the lottery ticket hypothesis to structured pruning for accelerated training while maintaining uncertainty and accuracy. The focus is on simplifying the model's complexity without sacrificing its overall performance or leading to overfitting.

  • Updated Feb 3, 2024
  • Jupyter Notebook

TakenMind Global Internship Program is recognized under United Nations Sustainable Development and Growth (SDG) and is a highly recognized International Certification Program. - Reference Link to the United Nations SDG #26437 TakenMind Program. TakenMind (powered by United Nations SDG Program) is offering a Global Internship in Data Analytics an…

  • Updated Dec 18, 2020
  • Python

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