Python for Data Science - Laboratory
[ 2nd Semester - AIDS - Artificial Intelligence and Data Science Department ]
Under Class: | 2nd Semester [AIDS Dept Anna University 2025 Regulation] |
Python for Data Science - Laboratory - Practical Manual, Experiments, Guide Study Materials PDF Download
Engineering - Python for Data Science - Laboratory Subject (under Anna University 2nd Semester - AIDS - Artificial Intelligence and Data Science Department Regulation 2025) - Practical Manual, Experiments, Guide Study Materials PDF Download
Python
for Data Science
Basics of
Python:
Practical:
1.
Programs using conditional and looping constructs
2.
Programs using different data frames like list, tuple, set and dictionary.
Functions
and Files:
Practical:
1.
Programs using functions and classes.
2.
Programs using strings and files
Foundations
of Data Science:
Practical:
1.
Data Creation and Mathematical operations.
2.
Graphs and Plotting.
Descriptive
Analytics:
Practical:
1.
Statistical description of data without libraries
2.
Generation of correlation coefficient.
3.
Linear regression model.
Numpy and
Pandas Libraries:
Practical:
1.
Creation of 1D, 2D, and 3D NumPy arrays
2.
Array Slicing and Indexing operations
3.
Reindexing, and aligning data across multiple Data Frames.
Data
Visualization:
Practical:
1.
Line plot, bar plot, histogram, and box plot.
2.
Seaborn plots, plot styling and customization