Here is a dataset about auto MPG: "https://huggingface.co/datasets/scikit-learn/auto-mpg/raw/main/auto-mpg.csv". You should download and load the dataset from the URL, take a look at it, check for missing value, do a train-test split, and train a regression model predicting its MPG. You should use everything except "mpg" and "car name" as the input features.
Can you also give me the MSE and R^2 for the training set?
Can you visualize the regression coefficient? You may access them via model.coef_ and their names via model.feature_names_in_
Can you rotate the x ticks by 45 degrees for better readability?

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