Python For Machine Learning - CST 283 - KTU Minor Notes- Dr Binu V P

Dr Binu V P -About Me

About the Course

Syllabus

Previous Year Question Paper and Answer Key CST 283 Python For Machine Learning Dec 2020

Previous Year Question Paper and Answer Key CST 283 Python For Machine Learning Dec 2021

Previous Year Question Paper and Answer Key CST 283 Python For Machine Learning Dec 2022 

Previous Year Question Paper and Answer  Key CST 283 Python For Machine Learning Feb 2024

Previous Year Question Paper and Answer Key CST 283 Python For Machine Learning Jan 2025

Module-I Programming Environment and Python Basics

1.Introduction to Python

2.Running Python Program- IDLE,Interactive Shell, Jupyter notebook

3.Identifiers, variables and keywords

4.Basic Python data types- numbers and strings, type conversion

5.Operators

6.Operator precedence and expression evaluation

7.Input and output- input() and print()

8.Built-in functions, modules and packages

9.The software development process

10.Simple programs to begin with, comments and statements

11.Basic Programs to try

12.Programs using built-in functions and modules

13.Sample Programs ( contact)

Module-II Building Python Programs

1.Selection statement -if else- sample programs

2.Programs to Try using if else

3.Looping statements- while and for

4.break, continue and pass statements

5.nested loops

6.Sample programs using loops and nested loops

7.Programs to try using loops

8.Functions in Python

9.Local and Global variables

10.Lambda Functions

11.Sample programs using functions

12.Recursion

13.Sample programs using recursion

14.Programs to try using functions

15.Programs to try using recursion

16.Strings in Python

17.Strings and number system

18.Sample Programs using strings

19.Programs to try using strings

Module-III Data Representation

1.List in Python creating, indexing, slicing,list comprehension

2.List functions- searching and sorting

3.Sample Programs using Lists

4.Programs to try using Lists

5.Tuples-operations,functions, Example Programs

6.Sets-operation, example programs

7.Sets-Built in Functions, frozen sets

8.Example Programs using set

9.Programs to try using tuples and set

10.Dictionary in Python

11.Dictionary Functions/methods

12.Example Programs using dictionary

13.Programs to try using dictionary

14.Date and Time in Python

comparison list,tuple,set,dictionary

Module IV - Object Oriented Programming

1.Class, Obects, Accessors, Mutators

2.Inheritance, Polymorphism, Operator overloading

3.Abstract classes

4.Example Programs using classes

5.Exception Handling in Python

6.Programs to try using OOP

Module V - Data Processing

1.os and sys module

2.File handling in Python text and binary files

3.Sample Programs using files

4.Programs to try using files

5.numpy arrays

6.numpy matrices

7.Random Numbers

8.numpy and linear algebra

9.matplotlib - plotting and visualization

more plots

10.pandas- reading , manipulating and processing data

11. Sample programs using pandas

12.Programs to try using numpy,pandas and matplotlib