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.

1. Python   

2. Data Science

3. Visualization Tools

4. Machine Learning

5. Deep Learning

6. Statistical Learning

7. Reinforcement Learning

We will learn the Pythonlanguage infrastructure required to learn our ultimate goal, Artificial Intelligence algorithms.

PYTHON COURSE DESCRIPTION

Python Introduction

Python Installation

Udemy Description

Datai Team Github and Resource

Python Basics

Variables  

Strings 

Numbers 

Built-in Function

User Defined Function

Lambda Function   

List   

Tuple   

Dictionary   

If-else statements   

For and While Loops

Object Oriented Programming (OOP)   

Class and Constructor    

Class Variables

Dealing with Programming Errors   

Syntax Errors

Exceptions   

Numpy Library

Numpy Basics

Numpy Operations

Indexing and Slicing   

Shape Manipulation   

Stacking Arrays   

Convert and Copy Array   

Pandas Library

Pandas Introduction 

Pandas Basic Methods 

Indexing and Slicing    

Filtering   

List Comprehension   

Concatenating   

Transform Data   

Matplotlib Library

Pandas Review 

Line Plot   

Scatter Plot   

Histogram   

Bar Plot   

Subplots   

Optional: Object Oriented Programming (OOP)

Classes

Attributes

Methods

Methods vs Functions

Constructor/Initializer

Encapsulation

Inheritance

Abstract Classes

Overriding

Polymorphism

Rent a Vehicle Project

2 Practice Exam: Midterm + Final Exams

26 Quizzes

WHY PYTHON?

According to 2020 IEEE research, Python is one of the most used and preferred programming languages worldwide.

Python is the first choice of newcomers to coding thanks to its easy learning.

Python is open source, supported by the world’s largest companies such as Facebook or Google.

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.

In terms of professional career, Python is one of the languages with the most opportunities.

THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE

Coding ability from scratch: We will code together.

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.

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.

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

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!