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Heart Disease Classification using Machine Learning | Free Projects for College Final Year Submission
About the Project:
Heart disease is one of the Leading reason for death around the world. In which machine learningis a method that predicts the emerging prospects of Heart Disease. Machine learning is used in taking care of numerous issues in information science. The basic utilization of machine learning is the forecast of a result dependent on already existing information. The machine takes the designs from the current dataset, and it is applied on an obscure dataset to foresee the result. Order method in AI is usually used for expectation. Some arrangement calculations foresee with acceptable precision, while others show a restricted exactness. Here, we play out an order dependent on various arrangement calculations like K-Nearest Neighbour, Support Vector Machine, Naïve Bayes, logistic regression, decision tree algorithm and random forest algorithm
Requirements:
- Python
- Scikit Learn
- Data Science
- Machine Learning
Techniques Used: Heart Disease Classification Using Machine Learning Techniques including Logistic Regression, KNN, Naive Bayes Classification, Support Vector, Decision Tree and Random Forest Classification
Certification: Yes you will get a verified certificate
