# SET A
Build a machine learning model to predict species-Adelie and Chinstrap of the penguins using logistic regression method. Use penguins
dataset of seaborn library to make the prediction based on features, namely, bill_length_mm, bill_depth_mm, flipper_length_mm and body_mass_g.
a. Retrieve appropirate rows and columns from the dataset based upon the question.
b. Plot histogram showing the data distribution of above mentioned four features.
c. Show the correlation of these four features and the target attribute-species.
d. Perform appropriate normalization/standardization to perform feature scaling.
e. Split the dataset into train and test partition using 7:3 split ration.
f. Build a model of on the train partition and use it to make prediction on test partition.
g. Plot confusion matrix.
h Display test accuracy, precision, recall and F1 score.