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Machine-learning-with-python

Supervised learning techniques implemented on predicting house prices Includes the following algorithms

  1. Linear regression using normal equation
  2. Linear regression using gradient descent
  3. Ridge and Lasso regression
  4. KNN regressor & classification
  5. Support vector regressor and Support vector classifier using kernel tricks
  6. Polynomial regression
  7. Logistic regression
  8. Decision trees
  9. All of the alogirthms are carried out using the SKLEARN package

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Supervised learning techniques implemented on predicting house prices

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