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30-Day Money-Back Guarantee

This course includes:

  • 8.5 hours on-demand video
  • 2 articles
  • 12 downloadable resources
  • 2 practice tests
  • Full lifetime access
  • Access on mobile and TV
Development Programming Languages Python

Python: Python Programming for Artificial Intelligence (1)

Learn Python like a Pro! Start with basics to learn Data Science, Machine Learning and Artificial Intelligence - (2020)
Rating: 3.7 out of 53.7 (17 ratings)
152 students
Created by DATAI TEAM, Datai Team Academy
Last updated 10/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll 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.

Course content

10 sections • 73 lectures • 8h 33m total length

  • Preview02:06
  • Python Installation
    02:28
  • Datai Team Github and Resources
    01:00
  • Optional: Google Colab
    01:12

  • Variables
    08:14
  • Preview07:27
  • Numbers
    02:47
  • Variable - String - Number
    4 questions
  • Built-in Functions
    04:19
  • User Defined Functions
    09:05
  • Default and Flexible Functions
    11:33
  • Built-in - User Defined - Default Functions
    3 questions
  • Practice 1
    06:59
  • Lambda Function
    04:31
  • Lambda Function
    1 question
  • List
    10:01
  • Tuple
    03:22
  • Dictionary
    05:58
  • List - Tuple - Dictionary
    3 questions
  • Conditionals (if-else Statements)
    12:37
  • Practice 2
    12:21
  • For Loop
    06:26
  • While Loop
    05:39
  • If Else Statement - For & While Loops
    3 questions
  • Practice 3
    04:16

  • Class and Constructor
    09:42
  • Class Variables
    08:04
  • Class Example
    04:32
  • Object Oriented Programming
    3 questions
  • Optional Section: Object Oriented Programming
    00:37

  • Syntax Error
    03:03
  • Try - Except 1
    04:03
  • Try - Except 2
    05:15
  • Programming Errors
    3 questions
  • Practice Test 1: Midterm
    26 questions

  • Preview11:21
  • Numpy Basics
    1 question
  • Numpy Basic Operations
    12:58
  • Numpy Basic Operations
    1 question
  • Indexing and Slicing
    06:53
  • Indexing and Slicing
    1 question
  • Shape Manipulation
    06:21
  • Shape Manipulation
    1 question
  • Stacking Arrays
    03:11
  • Stacking Arrays
    1 question
  • Convert and Copy Array
    05:51

  • Preview06:14
  • Pandas Basic Methods
    04:34
  • Pandas Basic Methods
    1 question
  • Indexing and Slicing Data Frames
    08:34
  • Indexing and Slicing Data Frames
    1 question
  • Filtering Pandas Data Frame
    05:10
  • Filtering Pandas Data Frame
    1 question
  • List Comprehension
    09:52
  • Concatenating Data
    06:09
  • Concatenating Data
    1 question
  • Transforming Data
    02:47

  • Pandas Review
    08:29
  • Line Plot
    09:37
  • Preview01:48
  • Histogram
    03:31
  • Bar Plot
    02:24
  • Subplots
    03:27
  • Matplotlib
    1 question

  • Practice Test 2: Final Exam
    16 questions

  • Preview01:00
  • Python Additional Resources
    00:08

  • Classes
    10:09
  • Classes
    1 question
  • Attributes
    07:01
  • Attributes
    1 question
  • Methods
    11:49
  • Methods vs Functions
    14:03
  • Methods
    1 question
  • Constructor/Initializer
    12:56
  • Constructor/Initializer
    1 question
  • Calculator Project
    15:42
  • Calculator Homework
    03:57
  • Encapsulation
    14:23
  • Encapsulation
    1 question
  • Inheritance
    13:57
  • Inheritance
    1 question
  • Inheritance Project
    09:06
  • Abstract Classes
    07:45
  • Abstract Classes
    1 question
  • Overriding
    03:53
  • Overriding
    1 question
  • Polymorphism
    09:27
  • Polymorphism
    1 question
  • Lecture Project
    16:32
  • Rent a Vehicle Project Introduction
    04:44
  • Classes and Methods Used in Project
    12:54
  • Rent a Vehicle Class (Parent Class)
    22:13
  • Rent a Car Class (Child Class)
    03:28
  • Rent a Bicycle Class (Child Class)
    02:34
  • Customer Class
    13:02
  • Customer Login Page: Bicycle Menu
    13:11
  • Customer Login Page: Car Menu
    06:31
  • Rent a Vehicle Project Test
    05:47
  • Conclusion
    00:20
  • BONUS
    00:00

Requirements

  • No prior knowledge of Python programming is required
  • It is enough to have a computer with internet connection
  • Good dreams about goals and future

Description

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 Python language 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 and start the Object-Oriented Programming adventure with Python.

Who this course is for:

  • 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

Instructors

DATAI TEAM
Kaggle Grandmaster & AI Engineer
DATAI TEAM
  • 4.5 Instructor Rating
  • 16,162 Reviews
  • 77,163 Students
  • 17 Courses

Yapay Zekâ & Veri Bilimi

DATAI Team Bilkent ve ODTÜ gibi üniversitelerden mühendislik alanında lisans ve lisansüstü seviyelerde mezun Yapay Zekâ, Veri Bilimi ve Algoritma alanlarında uzman kişiler tarafından Türkçe kaynak eksikliğine çözüm olarak kurulmuş bir takımdır. Google'ın alt kuruluşu olan Kaggle platformunda kazandığımız başarılar sayesinde sizlere profesyonel ve dünya çapında kalitesi onaylı dersler anlatıyoruz.

Python, Veri Bilimi, Makine Öğrenmesi, Derin Öğrenme ve Yapay Zekâ konularına karşı olan ilgi ve uzmanlığımız sayesinde hazırladığımız derslerimizi gerçek hayattan verilen örnekler ile harmanlayıp sizlere sunuyoruz. Ayrıca sizlerin öğrendikleri bilgiyi genel kültür seviyesinin ötesine taşıyabilmesi için yapacağınız çalışmaları tüm dünya ile paylaşmanız konusunda yol gösteriyor ve teşvik ediyoruz.

Gerek ders ile ilgili gerekse güncel konular, iş ya da okul hayatınız ile ilgili sorularınızı sormaktan çekinmeyin. Sormanın en iyi öğrenme yöntemlerinden biri olduğunu unutmayın.

İhtiyacınız olan kursları hemen kütüphanenize ekleyin ve bir an önce derslere başlayalım!

--------------------------------------------------------------------------------------------

Artificial Intelligence & Data Science

DATAI Team is a team established by experts in the fields of Artificial Intelligence, Data Science and Algorithm. Thanks to our achievements on the Kaggle platform, a subsidiary of Google, we tell you professional, world-class quality lessons and blend them with real-life examples. In addition, we guide and encourage you to share your studies with the world so that you can carry the knowledge you learn beyond the level of the general culture.

Datai Team Academy
Artificial Intelligence & Data Science
Datai Team Academy
  • 3.7 Instructor Rating
  • 88 Reviews
  • 5,356 Students
  • 6 Courses

Artificial Intelligence & Data Science

We combine the lessons that we have prepared with our interest and expertise on Python, Data Science, Machine Learning, Deep Learning and Artificial Intelligence with real life examples. In addition, we encourage you to share your work with the world to extend the knowledge you have learned beyond the basic level.

Thanks to our success on the Kaggle platform, a subsidiary of Google, we teach you professional and world class quality certified lessons.

Add the courses you need to your library now and let's get started!

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