Python: Python Programming for Artificial Intelligence (1)
Python: Python Programming for Artificial Intelligence (1), available at $39.99, has an average rating of 3.9, with 73 lectures, 28 quizzes, based on 65 reviews, and has 425 subscribers.
You will learn about Go from a total beginner to a confident Python programmer You can write "Advanced in Python for Artificial Intelligence" with peace of mind in your CV It will be easier for you to adapt to other languages after learning Python This course is only 1 in 7 of what I want to teach you. This course will be the basis of our last course, artificial intelligence course. To give an example, if life is an artificial intelligence, this course is your first steps in this life Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science and Artificial Intelligence You will learn the Numpy, Pandas and Matplotlib libraries which are the basic data science libraries. Optional: Add the Python Object-Oriented Programming (OOP) skills to your Learn Python from experienced professional software developers. This course is ideal for individuals who are Those who want to specialize in Python language or Those who want to learn a programming language but cannot decide which one or Those who want to start and continue their education or career in data science, machine learning or artificial intelligence or Those who know Python basics and want to master Python for Artificial Intelligece It is particularly useful for Those who want to specialize in Python language or Those who want to learn a programming language but cannot decide which one or Those who want to start and continue their education or career in data science, machine learning or artificial intelligence or Those who know Python basics and want to master Python for Artificial Intelligece.
Enroll now: Python: Python Programming for Artificial Intelligence (1)
Summary
Title: Python: Python Programming for Artificial Intelligence (1)
Price: $39.99
Average Rating: 3.9
Number of Lectures: 73
Number of Quizzes: 28
Number of Published Lectures: 73
Number of Published Quizzes: 28
Number of Curriculum Items: 101
Number of Published Curriculum Objects: 101
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Go from a total beginner to a confident Python programmer
- You can write "Advanced in Python for Artificial Intelligence" with peace of mind in your CV
- It will be easier for you to adapt to other languages after learning Python
- This course is only 1 in 7 of what I want to teach you. This course will be the basis of our last course, artificial intelligence course. To give an example, if life is an artificial intelligence, this course is your first steps in this life
- Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science and Artificial Intelligence
- You will learn the Numpy, Pandas and Matplotlib libraries which are the basic data science libraries.
- Optional: Add the Python Object-Oriented Programming (OOP) skills to your
- Learn Python from experienced professional software developers.
Who Should Attend
- Those who want to specialize in Python language
- Those who want to learn a programming language but cannot decide which one
- Those who want to start and continue their education or career in data science, machine learning or artificial intelligence
- Those who know Python basics and want to master Python for Artificial Intelligece
Target Audiences
- Those who want to specialize in Python language
- Those who want to learn a programming language but cannot decide which one
- Those who want to start and continue their education or career in data science, machine learning or artificial intelligence
- Those who know Python basics and want to master Python for Artificial Intelligece
THIS COURSE IS THE FIRST PART OF 7-STEP ARTIFICIAL INTELLIGENCE JOURNEY.
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Python
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Data Science
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Visualization Tools
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Machine Learning
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Deep Learning
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Statistical Learning
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Reinforcement Learning
We will learn the Pythonlanguage infrastructure required to learn our ultimate goal, Artificial Intelligence algorithms.
PYTHON COURSE DESCRIPTION
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Python Introduction
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Python Installation
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Udemy Description
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Datai Team Github and Resource
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Python Basics
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Variables
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Strings
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Numbers
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Built-in Function
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User Defined Function
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Lambda Function
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List
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Tuple
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Dictionary
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If-else statements
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For and While Loops
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Object Oriented Programming (OOP)
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Class and Constructor
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Class Variables
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Dealing with Programming Errors
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Syntax Errors
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Exceptions
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Numpy Library
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Numpy Basics
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Numpy Operations
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Indexing and Slicing
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Shape Manipulation
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Stacking Arrays
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Convert and Copy Array
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Pandas Library
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Pandas Introduction
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Pandas Basic Methods
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Indexing and Slicing
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Filtering
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List Comprehension
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Concatenating
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Transform Data
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Matplotlib Library
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Pandas Review
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Line Plot
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Scatter Plot
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Histogram
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Bar Plot
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Subplots
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Optional: Object Oriented Programming (OOP)
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Classes
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Attributes
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Methods
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Methods vs Functions
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Constructor/Initializer
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Encapsulation
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Inheritance
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Abstract Classes
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Overriding
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Polymorphism
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Rent a Vehicle Project
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2 Practice Exam: Midterm + Final Exams
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26 Quizzes
WHY PYTHON?
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According to 2020 IEEE research, Python is one of the most used and preferred programming languages worldwide.
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Python is the first choice of newcomers to coding thanks to its easy learning.
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Python is open source, supported by the world’s largest companies such as Facebook or Google.
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When it comes to data science, machine learning or artificial intelligence, Python language comes to mind first. This causes Python to have a large worldwide audience.
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In terms of professional career, Python is one of the languages with the most opportunities.
THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE
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Coding ability from scratch: We will code together.
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Codes and Templates: You can download every Python template and code we have created in the course. Thanks to this code and template, you create the infrastructure for the applications and projects that you will make later.
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Theory and Logic: We not only tell you how to write code, but also the logic and theory behind the code we write, and why we write such a code.
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In-class support: We don’t just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.
WHO WE ARE: DATAI TEAM ACADEMY
DATAI TEAM is a team of Python Programmers and Data Scientists.
Let’s register for the course.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Python Introduction
Lecture 2: Python Installation
Lecture 3: Datai Team Github and Resources
Lecture 4: Optional: Google Colab
Chapter 2: Python Basics
Lecture 1: Variables
Lecture 2: Strings
Lecture 3: Numbers
Lecture 4: Built-in Functions
Lecture 5: User Defined Functions
Lecture 6: Default and Flexible Functions
Lecture 7: Practice 1
Lecture 8: Lambda Function
Lecture 9: List
Lecture 10: Tuple
Lecture 11: Dictionary
Lecture 12: Conditionals (if-else Statements)
Lecture 13: Practice 2
Lecture 14: For Loop
Lecture 15: While Loop
Lecture 16: Practice 3
Chapter 3: Object Oriented Programming
Lecture 1: Class and Constructor
Lecture 2: Class Variables
Lecture 3: Class Example
Lecture 4: Optional Section: Object Oriented Programming
Chapter 4: Dealing with Programming Errors
Lecture 1: Syntax Error
Lecture 2: Try – Except 1
Lecture 3: Try – Except 2
Chapter 5: Numpy
Lecture 1: Numpy Basics
Lecture 2: Numpy Basic Operations
Lecture 3: Indexing and Slicing
Lecture 4: Shape Manipulation
Lecture 5: Stacking Arrays
Lecture 6: Convert and Copy Array
Chapter 6: Pandas
Lecture 1: Introduction to Pandas
Lecture 2: Pandas Basic Methods
Lecture 3: Indexing and Slicing Data Frames
Lecture 4: Filtering Pandas Data Frame
Lecture 5: List Comprehension
Lecture 6: Concatenating Data
Lecture 7: Transforming Data
Chapter 7: Visualization with Matplotlib
Lecture 1: Pandas Review
Lecture 2: Line Plot
Lecture 3: Scatter Plot
Lecture 4: Histogram
Lecture 5: Bar Plot
Lecture 6: Subplots
Chapter 8: Python Final Exam
Chapter 9: Conclusion
Lecture 1: Python Conclusion
Lecture 2: Python Additional Resources
Chapter 10: Optional Section: Object Oriented Programming
Lecture 1: Classes
Lecture 2: Attributes
Lecture 3: Methods
Lecture 4: Methods vs Functions
Lecture 5: Constructor/Initializer
Lecture 6: Calculator Project
Lecture 7: Calculator Homework
Lecture 8: Encapsulation
Lecture 9: Inheritance
Lecture 10: Inheritance Project
Lecture 11: Abstract Classes
Lecture 12: Overriding
Lecture 13: Polymorphism
Lecture 14: Lecture Project
Instructors
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DATAI TEAM
Kaggle Grandmaster & AI Engineer -
Datai Team Academy
Artificial Intelligence & Data Science
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 4 votes
- 3 stars: 12 votes
- 4 stars: 24 votes
- 5 stars: 21 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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