Machine Learning - Data Processing

Chapter 2  - Data Processing: It is crucial part of machine learning.

1.       Dataset : Get the dataset that we will use for pre-processing. Suppose you have the dataset like below.

It is in data.csv

In machine learning model we need to check that the Dependent Variable and Independent variable.

In Below example there first three colum are independent variable and Purchased colum is dependent variable

Name	Age	Salary	Purchased
Bon	44	72000	No
Ram	27	48000	Yes
Sohan	30	54000	No
eric	38	61000	No
Mat	40		Yes
Denie	35	58000	Yes
Andie		52000	No
Rus	48	79000	Yes
Mak	50	83000	No
Mark	37	67000	Yes

Python Lab - Day 3

Python Labs : 3^rd    Day

1.       User defined Exception

2.       Machine Learning Beginning

3.       File Demo

4.       Database Connection with Sqlite in Python

5.       Pickle  demo

Lab 1

User defined Exception

bb = 60 class C(Exception) :     pass

Python Lab - Day 2

Python Labs  2^nd   Day

1. Class Demo in Python
2. Constructor and Destructors in Python
3. Data Hiding in Class in Python
4. Inheritance in Python
5. Self Keyword in python
6. Exception Handling in Python
7. Documentation functions
8. Consume User Module in Python
9. OS import module demo in python Lab
10. Time and calendar import demo in python

Python Lab - Day 1

Python Labs  : 1^st Day

1. Print Hello World
2. Variables in Python
3. Arithmetic Operation in Python
4. Conditional Statement in Python
5. Loops in Python. While, for
6. Jumping Statement in python
7. Datastructure in python,  python contains four  types of collection datatype  List, Tuple, Dictionary , set
8. Formatting the String  function for print
9. Function demo in Python
10. Implementing inbuilt function of python
11. Importing math functions in python