Data Analysis with Python -> week 5 -> Graded Quiz: Model Refinement
What type of file allows data to be saved in a tabular format?
html
csv
2.What Python library is used forstatistical modelling including regression and classification?
Numpy
Scikit-learn
Matplotlib
3.In order to read any data using Python Pandas package what are the 2 most important factors?
File types and format
Format and file path
Encoding scheme and file path
4.What does the tail() method return?
It returns the first five rows
It returns the data types of each column
It returns the last five rows
5.According to this course datasets can be stored where?
Sometimes online or server
Server or local machine
local machine or sometimes online
6. The Pandas library is mostly used for what?
Machine learning
Data analysis
Data visualization
7.How would you check the bottom 10 rows of dataframe df?
df.head()
df.tail()
df.tail(10)
8. What does the following code segment perform in a dataframe?
df.dropna(subset=["price"], axis=0, inplace = True)
It drops all of the rows in the column "normalized-losses"
It replaces the missing values in the column "normalized-losses" with the mean of that column
Drops missing values in the price column only
9.How would you multiply each element in the column df["a"] by 2 and assign it back to the column df["a"]?
2*df["a"]
df["a"]=2*df["a"]
df["a"]=df["a"]-1
10. What does the below code segment give an example of for the column “length”?
df["length"] = (df["length"]-df["length"].mean())/df["length"].std()
It gives an example of the z-score or standard score
It gives an example of the max-min method
11. What does the below code segment give an example of for the column “length”?
df["length"] = (df["length"]-df["length"].min())/ (df["length"].max()-df["length"].min())
It gives an example of the max-min method
It gives an example of the z-score or standard score
12.Why is the below table an example of One-hot encoding?
Because it transformed the column fuel into quantitative variables
Because it transformed the column fuel into a standard deviation
13. What task does the following line of code perform?
df['peak-rpm'].replace(np.nan, 5,inplace=True)
rename the column 'peak-rpm' to 5
add 5 to the dataframe df
replace the not a number values with 5 in the column 'peak-rpm'
14. What does the following code segment perform in a dataframe?
mean = df["normalized-losses"].mean() df["normalized-losses"].replace(np.nan, mean)
It replaces the missing values in the column "normalized-losses" with the mean of that column
It drops all of the rows in the column "normalized-losses"
It drops rows that contain missing values
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