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Kiruthiga S

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I am a fresh IT software and web developer with undefined years of experience. I possess strong skills in programming languages and I am adept in web development. I am eager to apply my knowledge and skills in a professional environment to contribute to the success of the

Projects

prediction of human heart disease using machine learning techniques:

  • machine learning
  • data analysis
  • logistic regression
  • support vector machine
  • gradient boosting
  • knn
  • Developed a machine learning model for predicting human heart disease using algorithms such as logistics regression, support vector machine, gradient boosting classifier, and K-nearest neighbors.
  • Achieved accurate prediction of whether a patient has heart disease present or not, resulting in improved diagnosis and treatment decisions.
  • Implemented various machine learning techniques to analyze and interpret patient data, leading to a deeper understanding of the factors contributing to heart disease.
  • Collaborated with a team of experts to fine-tune the machine learning model, resulting in increased accuracy and reliability of the predictions.
  • Contributed to the advancement of medical research by utilizing machine learning to identify patterns and trends in heart disease data, leading to potential breakthroughs in prevention and treatment strategies.

Impact:

  • Improved prediction accuracy for human heart disease.
  • Increased understanding of the factors that contribute to heart disease.
  • Enhanced decision-making for physicians in diagnosing heart disease.
  • Potential to save lives by identifying individuals at risk of heart disease.
  • Reduced healthcare costs by providing early detection and intervention for heart disease.

Keywords:

  • human heart disease
  • machine learning techniques
  • logistics regression
  • support vector machine
  • gradient boosting classifier
  • knn
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