• Search...
Courses Popular Courses New Courses Programs
Instructors
Subscribe
العربية

categories: Technology & Innovation

Software
Technology
Web
SDG 4: Quality Education

Python Warm-Up for Machine Learning

By
Ahmed Tarek
Free lessons
Duration: 6 h 15 m / 40 lessons

Level: General

Course Language: Arabic

By the end of this course, you will be able to

  • The difference between AI, machine learning, and data science, as well as how to install and set up the required software and ensure everything is operating efficiently.

  • Various types of data, the difference between list, tuple and set, together with how to exploit dictionaries, create variables, and implement data structures.

  • How to use if statements and loops, how to organize your codes in separated files, how to create a simple WhatsApp bot, as well as how to use NumPy on 1D and 2D arrays.

Course details

  • 6 h 15 m/40 lessons
  • Last updated: 17/5/2022
  • 2 learning resources
  • Course completion certificate

Course Content

Free lessons

1.

Course Content

2 Minutes
2.

AI vs Machine Learning vs Data Science

6 Minutes
3.

Why Python?

6 Minutes
4.

Compiler vs Interpreter

2 Minutes
1.

Course Content

2 Minutes
2.

AI vs Machine Learning vs Data Science

6 Minutes
3.

Why Python?

6 Minutes
4.

Compiler vs Interpreter

2 Minutes
5.

Python Arithmetic Operation

15 Minutes
6.

Variables

5 Minutes
7.

Data Types

11 Minutes
8.

Booleans

11 Minutes
9.

Data Structures

4 Minutes
10.

List

11 Minutes
11.

Tuple

6 Minutes
12.

Set

4 Minutes
13.

Dictionary (1)

4 Minutes
14.

Dictionary (2)

11 Minutes
15.

Control Flow

6 Minutes
16.

If, Else, and While Practice

12 Minutes
17.

For Loop

14 Minutes
18.

Break and Continue

7 Minutes
19.

Zip and Enumerate

11 Minutes
20.

Functions

12 Minutes
21.

Lambda

17 Minutes
22.

Try and Except

4 Minutes
23.

Files in Python

14 Minutes
24.

WhatsApp Bot

9 Minutes
25.

NumPy

20 Minutes
26.

NumPy Functions (1)

12 Minutes
27.

NumPy Functions (2)

3 Minutes
28.

Save & Load NumPy Array

3 Minutes
29.

NumPy Array Arithmetic Operators

8 Minutes
30.

NumPy Slicing

6 Minutes
31.

NumPy Project (1)

17 Minutes
32.

NumPy Project (2)

7 Minutes
33.

NumPy Project (3)

18 Minutes
34.

Pandas

13 Minutes
35.

Pandas Arithmetic Operators

3 Minutes
36.

Data Frames

13 Minutes
37.

Statistics

6 Minutes
38.

Bar Chart, Histogram, Pie Chart, and Stem Plot

6 Minutes
39.

Final Project

17 Minutes
learning resources
40.

Next Steps

3 Minutes
learning resources

About this course

If you are an expert and need to explain what machine learning is in plain English, without mentioning any jargon or technical terms, most probably you will say that it’s the technology through which social media platforms organize feeds or that enables Netflix to suggest movies and shows. On the other hand, if you are the one who is eager to know what machine learning is, and learn how to gradually, yet steadily, dive into the field, then learning Python should be your first stop and this first of two courses should be your go-to station.

Course requirements and prerequisites

There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.

Mentor

Looking for help?