Guide: Working environment Setup for Machine Learning
Guide: Working environment Setup for Machine Learning, available at $54.99, has an average rating of 5, with 19 lectures, 1 quizzes, based on 1 reviews, and has 1 subscribers.
You will learn about Set up your Google Colab notebook Read your dataset into a pandas data frame Acquire basic Python coding skills Navigate through your pandas data frame Perform data cleaning This course is ideal for individuals who are This course has been designed for those who come from any professional or academic background and would like to start their Machine Learning journey, but they do not know where to start from or how to start. It is particularly useful for This course has been designed for those who come from any professional or academic background and would like to start their Machine Learning journey, but they do not know where to start from or how to start.
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Summary
Title: Guide: Working environment Setup for Machine Learning
Price: $54.99
Average Rating: 5
Number of Lectures: 19
Number of Quizzes: 1
Number of Published Lectures: 19
Number of Published Quizzes: 1
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Set up your Google Colab notebook
- Read your dataset into a pandas data frame
- Acquire basic Python coding skills
- Navigate through your pandas data frame
- Perform data cleaning
Who Should Attend
- This course has been designed for those who come from any professional or academic background and would like to start their Machine Learning journey, but they do not know where to start from or how to start.
Target Audiences
- This course has been designed for those who come from any professional or academic background and would like to start their Machine Learning journey, but they do not know where to start from or how to start.
This short course is an essential guide for those who would like to start their first Machine Learning project, but they do not know where to start from or how to start.
Even if there are many Python or data science courses available for beginners, there is no course which teaches you how to set up your working environment for Machine Learning from scratch.
This essential guide will teach you step by step necessary skills which, in other courses, are not taught, because it is believed that the students should already know how to open a notebook, how to use it or how to read their dataset in their notebook.
Therefore, you are not required to have any basic Python skills. You are going to learn how to code in this course.
This course is divided into 12 sections. By the end of this course, you will know how to:
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save a file in your desktop
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save it on your Google Drive
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open a Google Colab notebook
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mount your Google Drive on your Google Colab notebook
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import the pandas library in your notebook
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read your dataset into a pandas data frame
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navigate through your pandas data frame by using pandas.DataFrame functions
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perform data cleaning by using regular expressions
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download and upload your Google Colab notebook as a Python notebook file
You will also acquire basic Python knowledge: Python keywords, functions, objects, tuples, lists, regular expressions, user-defined functions
Why choose this course?
-The content is broken into bite-sized tutorials.
-The content is presented with animated videos.
-There are integrated Python tutorials, so you acquire Python knowledge and skills while attending the course.
-There are PDFs which explain in detail the content of each section.
-There is a quiz at the end of all sections which checks your knowledge and understanding.
-There is an assignment to apply the skills you are going to learn in the course.
Requirements
1. You must have your own Google account. If not, type How do I create a new Google Account on your internet browser and take the steps to open your account.
2. You must have your Google Drive open on your computer. Just type Drive Google on your internet browser and sign in with your credentials.
3. In this course you will be using the Google Colab notebook, so you would need to first sign into your Google account in order to use it.
Why Google Colab notebook?
Google colab notebook is ideal for beginners, since Python is already installed, and thus the learner avoids the hassle of installing Python in their desktop.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Tutorial 1
Lecture 1: Tutorial 1
Lecture 2: Tutorial 1 Live coding
Chapter 3: Tutorial 2
Lecture 1: Tutorial 2
Lecture 2: Tutorial 2 Live coding
Chapter 4: Tutorial 3
Lecture 1: Tutorial 3
Lecture 2: Tutorial 3 Live coding
Chapter 5: Tutorial 4
Lecture 1: Tutorial 4
Lecture 2: Tutorial 4 Live coding
Chapter 6: Tutorial 5
Lecture 1: Tutorial 5
Lecture 2: Tutorial 5 Live coding
Chapter 7: Tutorial 6
Lecture 1: Tutorial 6
Lecture 2: Tutorial 6 Live coding
Chapter 8: Tutorial 7
Lecture 1: Tutorial 7
Chapter 9: Tutorial 8
Lecture 1: Tutorial 8
Chapter 10: Tutorial 9
Lecture 1: Tutorial 9
Chapter 11: Tutorial 10
Lecture 1: Tutorial 10
Lecture 2: Tutorial 10 Live coding
Chapter 12: Tutorial 11
Lecture 1: Tutorial 11
Chapter 13: Quiz
Chapter 14: Assignment
Instructors
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Maria Tsilimos
Data scientist, course creator, writer, instructor
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 1 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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