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agrawal-priyank / machine-learning-regression

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Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

python machine-learning linear-regression coursera gradient-descent ridge-regression polynomial-regression university-of-washington house-price-prediction multiple-regression machine-learning-regression
  • Updated Dec 8, 2023
  • Jupyter Notebook

agrawal-priyank / machine-learning-case-studies

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Built prediction and retrieval models for document retrieval, image retrieval, house price prediction, song recommendation, and analyzed sentiments using machine learning algorithms in Python

python machine-learning deep-learning clustering jupyter-notebook ipython-notebook coursera similarity supervised-learning logistic-regression image-classifier transfer-learning predictive-analytics university-of-washington image-retrieval document-retrieval graphlab-create knn-classification nearest-neighbours-classifier deep-features
  • Updated Jan 20, 2018
  • Jupyter Notebook

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