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1. Fundamentals of python
0/17
Getting Started With Python
01:04:43
String Basics
20:09
String Operations
44:18
Conditional Statements in Python
19:06
Loops in Python
14:32
Data Structures Basics
31:13
List
33:58
Tuple
08:01
Dictonary
22:19
Set
15:54
Functions Basics
34:07
Anonymous Function –Lambda Function
11:49
Special Function
14:12
Comprehensions
20:00
In-Built Functions
36:35
OOP –Basics
38:08
OOP –Inheritance, Encapsulation, Polymorphism
21:01
2. Data Science with Python
0/16
Date Time Module
14:55
RegEx –Built In Functions
13:02
RegEx –Meta Characters
11:30
NumPy vs List
11:38
NumPy –Basics
27:01
NumPy –Operations
14:03
Pandas –Basics
28:32
Pandas –Header & Index
11:18
Pandas –Columns
23:32
Pandas –loc & iloc
11:24
Pandas –GroupBy, Sorting, Counts
15:13
Pandas –Merge & Concatenate
11:31
Pandas –Datetime
08:10
Pandas –Advanced (Seperators, Rename, String Functions)
10:06
Matplotlib –Basics
22:25
Matplotlib –Types of Graphs
10:10
3. Data Cleaning
0/4
Missing Values
49:30
Outliers –Basics
22:49
Outliers –Visualization
11:27
Data Cleaning on Naukri Dataset
24:56
Data Science and Machine Learning: A Practical Guide
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