S.No |
Program |
1 |
a)
Write
a program in python to read and write different types of Files(CSV, json, txt
etc) b)
Write
a program in python to perform statistical analysis on given data set |
2. |
a)
Write
a program in python to manipulate, Aggregate and Analyze data using Numpy b)
Write
a program in python to handle and Analyze data using Pandas |
3. |
a)
Working
with vectors and matrices in python b)
Working
with matplotlib and seaborn packages in python |
4. |
a)
Writes
a python program to get the number of observations, missing values and nan
values from the given dataset b)
Writes
a python program to get observations of each species from iris data and plot
it using seaborn or matplotlib packages |
5. |
a)
Writes
a python program to create a join plot to describe individual distributions
on the same plot between sepal length and Sepal width b)
Writes
a python program using seaborn to create a Kernal Density Estimate plot of
petal_length versus petal width for setosa species of flower |
6. |
a)
Write
a Python program to split the iris dataset into its attribute(X) and labels
(Y). The X variable contains the first four column. b)
Write
a python program using scikit-learn to split the iris dataset into 80% train
data and 20% test data. Out of total 150 records, the training set will come
120 records and the test set contains 30 of those records. Print both
datasets |
7. |
a)
Write
a Python program to split the iris dataset into its attribute(X) and labels
(Y). The X variable contains the first four column. b)
Write
a python program using scikit-learn to convert species column in a numerical
column of the iris data frame. To encode this data map convert each value to
a number. e.g. Iris setosa:0, Iris-versicolor:1 and Iris-versicolor:2. Now
print the iris data into 70% train data and 20 % test data. Out of total 150
records, the training set will contain 120 records and the test set contains
30 of those records. Print both datasets. |
8. |
a)
Write
a python program to add an indeed field, changing misleading data fields,
Re-expressing categorical data as numerical data, standardizing numerical
fields and identifying outliers for data preparation phase for bank marketing
data set. b)
Write
a python program to implement a correlation |
9. |
a)
Write
a Python program to find the location address of a specified latitude and
longitude using Nominatim API and Geopy package. b)
Write
a Python function to get the city, state, and country names of a specified
latitude and longitude using Nominatim API and Geopy packages |
10 |
a)
Write
a Python program to search the Street address, and name from a given location
information using Nominatim API and GeoPy package. b)
Write
a Python program to search the country name from a given state name using
Nominatim API and GeoPy package. |
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