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Machine learning Regression Task for restaurants dataset

Objective: Build a machine learning model to predict theaggregate rating of a restaurant based on other features. Steps: Preprocess the dataset by handling missing values,encoding categorical variables, and splitting the datainto training and testing sets. Select a regression algorithm (e.g., linear regression,decision tree regression) and train it on the training data. Evaluate the model's performance using appropriateregression metrics (e.g., mean squared error, R-squared)on the testing data. Interpret the model's results and analyze the mostinfluential features affecting restaurant ratings.