Description
- self implemented ML algorithms without sklearn
- Linear Regression : predicting quality of redwine on scale 1-10 given the composition of each components.
- Logistic Regression : predicting if a person has hepatitis or not
- Neural Network : Letter recognition using some info about each Letter (Very Bas accuracy though - can ignore xD)
- classification decision tree - Prediction of celestial bodies(GALAXY,STAR,QUOS) using decision tree (GINI univariate splitting)
- SVM - Breast Cancer prediction. Using SVM ( KERNELS , SMO algorithm ) to acheive 97% accuracy
- Percepton - banknote authentication