Using any dataset from Kaggle, code in python(JupyterLab). Clean the data, build a decision tree using relevant predictors, Calculate and display the confusion matrix of the model. Calculate the accuracy of the model using confusion matrix, and create graphs. **Please import the dataset**
**Machine Learning Techniques To Use**
-Linear Regression
-Decision Trees
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