Distribution of features using the pair plot

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Reference no: EM133424034

Question: Build models to predict the quality of wines in Google Collab. Please review the data dictionary and data provenance here:

The target variable has been recorded as 1 (quality > 6) and 0 (quality < 7)

1. Load the data

2. Explore the distribution of the target variable

3. Assess if there are any missing values

4. Explore the information value and distribution of features using the pair plot

5. Develop logistic regression, kNN (optimize k), random forest, and boosted tree models to predict wine quality. Make sure to preprocess the data as needed by the respective models.

6. Assess the performance of each model using the following metrics: Recall, Precision, F1, ROC AUC. Which is the best model based on ROC AUC?

Reference no: EM133424034

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