Introduction


Introduction


About Company

Introduction


  1. Loading and preprocessing our Data
  2. Splitting the data into training and testing samples.
  3. Using different Machine Learning techniques like Decision Tree, Logistic Regression, Random Forest, Neural Networks and Perceptron.
  4. Different setups can be evaluated using suitable evaluation measures such as Accuracy, Precision, Recall etc.
  5. Concluding the best model.
  6. Experiments with Regularization

PALACHERLA PRAVEEN

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