This project consists of the development of 4 phases: lexical analysis (scanning/tokenizing source program), syntax analysis (parser that...
This project consists of the development of 4 phases: lexical analysis (scanning/tokenizing source program), syntax analysis (parser that analyzes tokens to detect symbols and does error recovery using LALR grammar) semantic analysis (using the symbol table, detects type mismatch, undeclared variables, multiple declarations, actual and formal
parameters mismatch) and code generation (bytecode generation). It is implemented in Eclipse using MicroJava
Java
Compiler Construction
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Java
Compiler Construction
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Detection of erythemato-squamous diseases using multiple machine learning modelsView Project Comparison of well known machine learning models (k-means clustering, Naive Bayes classifier, k-Nearest Neighbors and hybrid voting algor...
Comparison of well known machine learning models (k-means clustering, Naive Bayes classifier, k-Nearest Neighbors and hybrid voting algorithm) for the detection of erythemato-squamous diseases
Python
Machine Learning
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Python
Machine Learning
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