This repo contains the projects done during the machine learning course.
This model predicts the profit of the newly opened restaurant according to training set contain features population and profit.
- Linear Regression
- Gradient Descent
- Using Normal Equation
- Feature Normalization
This model predicts whether a student is accepted or not according to marks he/she obtained in exam1 and exam2.
- Logistic Regression
- Use of fminunc of octave
This model predicts whether microchip assures quality assurance or not according to two performed test.
- Regularized Logistic Regression
- Use of fminunc of octave
- Feature mapping
This is neural networks model which predicts digits stored in form of 20*20 pixel size images.
- Logistic Regression Accuracy-95.12%
- Neural networks Accuracy-97.52%
This is classification model which predicts whether the given email is a span or not.
- SVM algorithm implemented
- use of gaussian kernel