/Sparks

This repo contains the projects done during the mahine learning course.

Primary LanguageMATLAB

Sparks

This repo contains the projects done during the machine learning course.

Restaurant_profit

This model predicts the profit of the newly opened restaurant according to training set contain features population and profit.

Techniques used

  • Linear Regression
  • Gradient Descent
  • Using Normal Equation
  • Feature Normalization

Univ_accepatance

This model predicts whether a student is accepted or not according to marks he/she obtained in exam1 and exam2.

Techniques used

  • Logistic Regression
  • Use of fminunc of octave

Chip_verification

This model predicts whether microchip assures quality assurance or not according to two performed test.

Techniques used

  • Regularized Logistic Regression
  • Use of fminunc of octave
  • Feature mapping

Digit_recognition

This is neural networks model which predicts digits stored in form of 20*20 pixel size images.

Techniques used

  • Logistic Regression Accuracy-95.12%
  • Neural networks Accuracy-97.52%

Spam Filter

This is classification model which predicts whether the given email is a span or not.

Techniques used

  • SVM algorithm implemented
  • use of gaussian kernel