
(a)
Interpretation:
The properties of steel to be used as I-beams in skyscrapers needs to be explained.
Concept Introduction:
Each material has some specific unique properties which make it suitable for a particular application. The reason for the application is that property only.
(b)
Interpretation:
The properties of alloy of cobalt, chromium and molybdenum for hip implants needs to be explained.
Concept Introduction:
Each material has some specific unique properties which make it suitable for a particular application. The reason for the application is that property only.
(c)
Interpretation:
The properties of biocarbonates to be used as eyeglass lenses needs to be explained.
Concept Introduction:
Each material has some specific unique properties which make it suitable for a particular application. The reason for the application is that property only.
(d)
Interpretation:
The properties of bronze to be used as artistic castings needs to be explained.
Concept Introduction:
Each material has some specific unique properties which make it suitable for a particular application. The reason for the application is that property only.

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Chapter 1 Solutions
Essentials of Materials Science and Engineering, SI Edition
- can you show the steps to answer question.arrow_forwardboston csv is located here: https://gist.github.com/nnbphuong/def91b5553736764e8e08f6255390f37cross-validation lab Remember that the best model has the highest accuracy (mean) and the lowest variance among all models to avoid overfitting. ''' # Compare Algorithms from pandas import read_csv from matplotlib import pyplot from sklearn.model_selection import KFold from sklearn.model_selection import cross_val_score from sklearn.ensemble import RandomForestClassifier ############################################################################ # to do: add the linear regression model (import the linear regression model from sklearn) ############################################################################# # load dataset. You should put the dataset in the current directory or provide a path to the where # the data is located. filename = 'Diabetes dataset.csv' names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class'] dataframe = read_csv(filename, names=names)…arrow_forwardhelp me with line search method in A.3arrow_forward
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