English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 141 lectures (22h 39m) | 12.8 GB
Learn Python 3 with more than 100 Practical Exercises and 20 Hands-on Practical Projects
We are on a mission to create the most complete Python programming guide in the World.
From Python basics to techniques used by pros, this masterclass provides you with everything you need to start building and applying Python.
“Python Beginner to Pro Masterclass” is our flagship Python course that delivers unique learning with 3 immersive courses packed into 1 easy-to-learn package:
First, prepare yourself by learning the basics and perfect your knowledge of the language with a beginner to pro Python programming course.
Next, build on your knowledge with a practical, applied and hands-on Python course with over 20 real-world applications problems and 100 coding exercises to help you learn in a practical, easy and fun way. These will be invaluable projects to showcase during future job interviews!
Finally, push your boundaries with a data science and machine-learning course covering practical machine learning applications using Python. Dive into real-life situations and solve real-world challenges.
So, why is Python the golden programming language these days? And what makes it the best language to learn today?
Python ranks as the number one programming language in 2018 for five simple reasons that are bound to change the shape of your life and career:
(1) Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.
(2) High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.
(3) Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.
(4) Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.
(5) Future-proof Career: The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.
What you’ll learn
- DIVE INTO PYTHON WORLD WITH PYTHON FUNDAMENTALS:
- Variables and data types & Comparison operators
- Logical Operators & Conditional statements (If-else)
- For and while loops & Functions
- Lists and list comprehensions
- Dictionaries and dictionaries comprehensions
- Lambdas and built-in functions & Modules & Maps and Filters
- Processing csv files & Methods & Matplotlib
- Pandas & Numpy & Seaborn
- Use OpenCV applied on Video Stream to Draw Yourself
Table of Contents
BEGINNER PYTHON FUNDAMENTALS PART A
1 Introduction and Welcome Message
2 Environment Setup
3 BONUS Learning Paths
4 Updates on Udemy Reviews
5 Environment Setup
6 Basic Mathematical Operations
7 Precedence order of operation
8 Variable Assignment
9 Math operations precedence variables assignment Exercises Questions
10 Math operations precedence variables assignment Exercises Solutions 1
11 Math operations precedence variables assignment Exercises Solutions 2
12 Print Operation
13 Get User Input
14 Print and Get User input Exercises Questions
15 Print and Get User input Exercises Solutions Part 1
16 Print and Get User input Exercises Solutions Part 2
17 Strings Concept
18 Strings Exercises Questions
19 Strings Exercises Solutions Part 1
20 Strings Exercises Solutions Part 2
21 Lists Concept
22 Lists Exercises Questions
23 Lists Exercises Solutions Part 1
24 Lists Exercises Solutions Part 2
25 Dictionaries and Booleans Concept
26 Dictionaries and Booleans Exercises Questions
27 Dictionaries and Booleans Exercises Solutions Part 1
28 Dictionaries and Booleans Exercises Solutions Part 2
29 Dictionaries and Booleans Exercises Solutions Part 3
30 Tuples and Sets Concept
31 Tuples and Sets Exercises Questions
32 Tuples and Sets Exercises Solutions
33 Get the Materials
BEGINNER PYTHON FUNDAMENTALS PART B
34 Comparison Operators Concept
35 Logical Operators Concept
36 Conditional Statements Concept
37 Conditional Statements logical and Comparison Operators Exercises Overview
38 Conditional Statements logical and Comparison Operators Exercises Solutions1
39 Conditional Statements logical and Comparison Operators Exercises Solutions2
40 Conditional Statements logical and Comparison Operators Exercises Solutions3
41 Conditional Statements logical and Comparison Operators Exercises Solutions4
42 Loops For Loops Concept
43 Loops enumerate
44 Loops range
45 Loops Break and Continue
46 Loops Nested Loops
47 Loops List Comprehension
48 Loops While Loops
49 Loops Exercises Questions Overview
50 Loops Exercises Solutions part 1
51 Loops Exercises Solutions part 2
52 Loops Exercises Solutions part 3
53 Loops Exercises Solutions part 4
54 Loops Exercises Solutions part 5
55 Functions Concept
56 Functions Built in functions
57 Functions lambda Expressions
58 Functions Map
59 Functions Filter
60 Functions Exercises Questions Overview
61 Functions Exercises Solutions Part 1
62 Functions Exercises Solutions Part 2
63 Functions Exercises Solutions Part 3
64 Functions Exercises Solutions Part 4
65 Files Concept Part 1
66 Files Concept Part 2
67 Files Concept Part 3
68 Files Exercises Questions Overview
69 Files Exercises Solutions Part 1
70 Files Exercises Solutions Part 2
71 Files Exercises Solutions Part 3
BEGINNER PYTHON FUNDAMENTALS Part C
72 Numpy Basics Part 1
73 Numpy Basics Part 2
74 Pandas Part 1
75 Pandas Part 2
76 Matplotlib Part 1
77 Matplotlib Part 2
78 Matplotlib Part 3
79 Seaborn
PRACTICAL PROJECTS IN PYTHON
80 Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 4
81 Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 5
82 Project 11 Manipulate PDF Files Part 1
83 Project 11 Manipulate PDF Files Part 2
84 Project 11 Manipulate PDF Files Part 3
85 Project 11 Manipulate PDF Files Part 4
86 Project 11 Manipulate PDF Files Part 5
87 Project 12 Detect Faces and Eyes in Images Part 1
88 Project 12 Detect Faces and Eyes in Images Part 2
89 Project 12 Detect Faces and Eyes in Images Part 3
90 Project 12 Detect Faces and Eyes in Images Part 4
91 Project 1 Build a Guessing Game
92 Project 2 Draw Cartoon of Images Using OpenCV Part A
93 Project 2 Draw Cartoon of Images Using OpenCV Part B
94 Project 3 Build a Fortune Teller Game
95 Project 4 Detect Lane Lines for Selfdriving Cars Part A
96 Project 4 Detect Lane Lines for Selfdriving Cars Part B
97 Project 5 Build your Zodiac Sign Application
98 Project 6 Build a TicTacToe Game
99 Project 7 Draw a Sketch of your Face Using the WebCam
100 Project 8 Amazon Alexa Reviews Analysis Part 1 Project Overview
101 Project 8 Amazon Alexa Reviews Analysis Part 2 Importing data
102 Project 8 Amazon Alexa Reviews Analysis Part 3 Data Visualization
103 Project 8 Amazon Alexa Reviews Analysis Part 4 Word Cloud
104 Project 8 Amazon Alexa Reviews Analysis Part 5 Feature Engineering
105 Project 9 Build a Daily Planner Part 1
106 Project 9 Build a Daily Planner Part 2
107 Project 9 Build a Daily Planner Part 3
108 Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 1
109 Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 2
110 Project 10 Predict Future Avocado Prices Using Facebook Prophet Part 3
MACHINE LEARNING IN PYTHON
111 Download Machine Learning Course Package
112 Introduction to Artificial Intelligence and Machine Learning
113 Supervised Unsupervised and Reinforcement Learning
114 Deep Learning and Big Picture
115 Case Study 1 Introduction to Linear Regression
116 Case Study 1 Least Sum of Squares
117 Case Study 1 Problem Statement and Data Importing
118 Case Study 1 Data Visualization and Data Splitting
119 Case Study 1 Model Training
120 Case Study 1 Model Testing and Evaluation
121 Case Study 2 Business Case and Problem Statement
122 Case Study 2 Problem in Machine Learning Vocabulary
123 Case Study 2 Data Visualization
124 Case Study 2 Model Training
125 Case Study 2 Model Evaluation
126 Case Study 2 Improving the Model
127 Case Study 2 Conclusion
128 Case Study 3 Introduction
129 Case Study 3 Artificial Neural Networks Basics
130 Case Study 3 Convolution Neural Network CNN Overview
131 Case study 3 Convolution Operation in Action
132 Case Study 3 Rectified Linear Units RELU
133 Case Study 3 Max Pooling and Downsampling
134 Case Study 3 Regularization and Dropouts
135 Case Study 3 Coding Part 1 Problem Statement and Data Import
136 Case Study 3 Data Visualization
137 Case Study 3 CNN Model Building
138 Case Study 3 CNN Model Training
139 Case Study 3 CNN Model Evaluation Part 1
140 Case Study 3 CNN Model Evaluation Part 2
Bonus Lectures
141 YOUR SPECIAL BONUS
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