Exploring reinforcement learning concepts and solve a maze problem. Discusses model state determination, techniques for state reduction, impact of learning rate (α), and impact of
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Multilayer Perceptron, Neural Network & Polynomial Regression from scratch. (Github) In this project we weren’t allowed to use ML libraries. Classification Perceptron Analysis Description: Explore
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Financial portfolio analysis and risk management project. Utilize daily closing price data to analyze company performance in Tehran Stock Market. portfolio optimization, risk measures, and
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Implementing both an Assembler and a Disassembler in both Python and Assembly language during my Assembly course project. This project aimed to explore the intricate
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This project aims to classify five classes of grapevine leaves using pre-trained models and transfer learning techniques. By leveraging the power of autoencoders, we explore
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Classification using Decision Tree, KNN, SVM, & Random Forest with PCA for Maternal Health Risk Dataset and Parkinson’s Disease. Clustering using Lloyd’sk-means, FuzzyC-means, and DBSCAN
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Genetic Algorithm to solve TSP. Memetic Algorithm to solve N queens problem. Ant colony optimization for Assignment Problem. Simulated Annealing for cutting stock problem. Particle
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An implementation of a basic computer architecture based on the principles outlined in the classic textbook “Computer System Architecture”, Morris Mano. The implementation is carried
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