This is an Analysis that characterises whether a person will or will not Donate blood in the month of March. The ML algorithms that are used to prove the analysis are -
- Logistic Regression
- SVMs
- Random Forests
- Decision Trees
- Multi-Level Perceptron
SKLearn Library has been used to implement the Machine Learning Algorithms. The SVM, i.e. the Support Vector Machine gave us the maximum accuracy score that is 78.4 %.
The Dataset has been extracted from the Udemy Machine Learning course. We have two datas, which are contain the Training and Testing data.
My Supporting Handwritten notes regarding the Syntax / Database Structure / Pipeline are also uploaded just in case.