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Machine Learning in Python

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Updated On 02 Feb, 19

Overview

Machine Learning Tutorial in Python helps you gain expertise in various types of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Through this playlist you will be learning the important Machine Learning concepts and its implementation in python programming language.

Includes

Lecture 45: Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka

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Lecture Details

🔥 Edureka Python Training (Flat 20% Off, Code: YOUTUBE20): https://www.edureka.co/data-science-python-certification-course
This Edureka Python Tutorial for Beginners (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you learn Python programming language and its core concepts with examples from scratch. This Python tutorial for beginners video helps you to learn the following concepts in Python:

1:16 Introduction to Python
5:29 Who is using Python
7:13 Python Applications
7:34 Python Market Trends
8:36 Python Installation
10:17 Python IDE & Interpreter
12:30 Executing Code in Python
13:19 Comments and Literals
15:10 Indentation
16:20 Python Code Execution
16:50 Hello World Program Using Python
20:25 Identifiers
22:22 Variables
23:35 Data Types
26:22 Immutable Data Types
26:26 Numeric Data Type
27:34 Strings
28:28 Tuples
29:48 Mutable Data Type
29:55 Lists
34:19 Dictionaries
36:36 Sets
37:01 Python Operators
37:18 Arithmetic Operator
38:02 Assignment Operator
39:03 Comparison Operator
40:00 Logical Operators
42:22 Bitwise Operator
42:51 Identity Operator
44:11 membership Operator
42:55 Conditional Statements
51:38 Loops on Python
52:00 While Loop
53:07 For Loop
55:20 Nested Loops
55:50 Control Statements
58:30 Command Line Parameters
1:00:28 Sequences and File Operations
1:00:53 Python Input Function
1:02:46 Python File Operations
1:03:14 Opening and Closing Files
1:04:40 Python Open Function
1:06:50 Write Function
1:07:05 Read Function
1:07:19 Rename Function
1:07:52 Delete Function
1:10:05 Close Function
1:10:52 File Object Attributes
1:13:48 Python Sequences
1:17:40 Python Lists
1:19:12 List Operations
1:26:04 Python Tuples
1:26:30 Tuple Operations
1:30:10 Python Strings
1:37:14 Python Sets
1:38:25 Set Operations
1:41:58 Python Dictionaries
1:45:22 Dictionary Operations
1:49:12 Functions and Oops
2:21:12 Object-Oriented Concepts
2:22:28 Use Case
2:22:55 Classes and Objects
2:26:08 Creating a Class
2:26:57 Definition of Method
2:27:30 Scope of Variables
2:29:26 Attributes
2:38:16 Private Methods
2:39:39 Class Variables and Instance Variables
2:40:54 Constructor and Destructor
2:43:20 Key Concepts of Object-Oriented Programming
2:43:25 Abstraction
2:45:01 Encapsulation
2:45:19 Inheritance
2:45:47 Types of Inheritance
2:46:21 Single Inheritance
2:48:15 Multiple Inheritance
2:49:47 Overriding Method
2:51:01 Polymorphism
2:52:37 Getter and Setter Methods
2:54:21 Working with Modules and Handling Exceptions
2:54:44 Modules Used In Python
2:55:38 Import Statement
2:56:09 Dir Function
2:57:19 From Import Statement
2:59:41 Reload Function
2:59:59 Important Modules Used in Python
3:19:34 Regular Expressions
3:26:19 Search and Match Function
3:27:31 Regular Expressions Applications
3:27:34 Packages in Python
3:28:18 Exception Handling
3:31:20 Catching Specific Exceptions
3:33:22 Finally Block
3:34:06 try-finally Block
3:34:22 User-Defined Exceptions
3:36:56 Introduction To NumPy and Pandas
3:38:50 - What is Data Analysis?
3:43:08 - Why Python for Data Analysis?
3:43:32 - Introduction to NumPy
4:07:33 - Reading & Writing from Files
4:09:13 - Reading & Writing from CSV Files
4:12:11 - Introduction to Pandas
4:39:12 - Introduction to Data Visualization & Matplotlib
5:00:35 - Data Manipulation
5:28:10 - Use Case ( Country-Wise Statistics)
5:37:55 - Developing Web Maps using Folium & Pandas
5:38:13 - Problem Statement (Disaster Management Organization)
5:39:51 - Installing Folium and Pandas
5:53:00 - Problem Statement ( Titanic Data Analysis)
5:57:13 - Data Wrangling
6:23:39 - Web Scraping using Python
6:25:50 - Libraries used for Web Scraping ( Beautiful Soup)
6:27:39 - Requests library
6:32:35 - Data Visualisation on the browser
6:33:00 - Introduction to Bokeh
6:36:02 - Computer Vision using OpenCV
6:36:09 - How a computer reads an image
6:38:21 - What is OpenCV?
6:39:15 - Operations with OpenCV
6:40:09 - Load images using openCV
6:44:22 - Write Operation
6:44:51 - Face detection using OpenCV
6:55:55 - Capturing video
7:00:05 - Use Case - Motion Detector
7:00:15 - Problem Statement
7:00:38 - Solution Logic
7:11:49 - Plotting the Motion detection graph

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Edureka Python Tutorial Playlist: https://goo.gl/WsBpKe
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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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