Foundations of Data Science Lab

---

 LIST OF EXPERIMENTS

1. Introduction and installation of Python and Python IDEs for data science (Spyder-Anaconda, Jupyter Notebook etc.)
2. Design a Python program to generate and print a list except for the first 5 elements, where the values are squares of numbers between 1 and 30.
3. Design a Python program to understand the working of loops.
4. Design a Python function to find the Max of three numbers.
5. Design a Python program for creating a random story generator
6. Create a synthetic dataset (.csv/.xlsx) to work upon and design a Python program to read and print that data.
7. Design a Python program using NumPy library functions.
8. Perform Statistics and Data Visualization in python.
9. Design a Python program to implement Linear Regression
10. Design a Python program to create a recommender system

---