Python Warm-Up for Machine Learning

categories: Technology, Science & Productivity

Software

Technology

Web

SDG 4: Quality Education

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

Course Content

2 Minutes

AI vs Machine Learning vs Data Science

6 Minutes

Why Python?

6 Minutes

Compiler vs Interpreter

2 Minutes

1. Python Warm-Up for Machine Learning

Course Content

2 Minutes

AI vs Machine Learning vs Data Science

6 Minutes

Why Python?

6 Minutes

Compiler vs Interpreter

2 Minutes

Python Arithmetic Operation

15 Minutes

Variables

5 Minutes

Data Types

11 Minutes

Booleans

11 Minutes

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.