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Machine Learning for Absolute Beginners - Level 2
Machine Learning for Absolute Beginners - Level 2

Machine Learning for Absolute Beginners - Level 2: A beginner's guide to pre-processing data for data science projects

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Profile Icon Idan Gabrieli
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$99.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3 Ratings)
Video Dec 2020 3hrs 59mins 1st Edition
Video
$99.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Idan Gabrieli
Arrow right icon
$99.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3 Ratings)
Video Dec 2020 3hrs 59mins 1st Edition
Video
$99.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$99.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Learn how to use Python for data science and machine learning projects
  • Understand the interface of Jupyter lab tool
  • Discover how to get data ready for machine learning algorithms

Description

Machine learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and machine language (ML) experts to develop products, features, and projects that will help them unleash the power of machine learning. This course will show you how to prepare data for machine learning algorithms using Python and pandas library. The course starts by explaining the installation process of Anaconda and Jupyter. Once you are ready with the setup, you will understand Python fundamentals, such as variables, data types, conditional statements, loops, and modules. Next, you will go through the pandas library and learn how to use it for loading real-world large datasets. Towards the end, you will learn the steps and techniques to clean data and make it ready to move into machine learning algorithms. By the end of this course, you will be well-versed with Python fundamentals and pandas library and will be ready to take on data science projects. The code bundle for this course is available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners-Level-2

Who is this book for?

This course is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. You will understand the fundamentals of Python and learn how to pre-process data before using it in machine learning algorithms. There are no prerequisites for taking up this course; however, it is recommended to finish with the Machine Learning for Absolute Beginners - Level 1 course.

What you will learn

  • Understand how to use Jupyter Lab for Jupyter notebooks
  • Learn Python fundamentals
  • Load large datasets from files using pandas
  • Uncover techniques to perform data analysis and exploration
  • Group, sort, export, select, filter, and clean data
  • Find out how to preview the data frame

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 23, 2020
Length: 3hrs 59mins
Edition : 1st
Language : English
ISBN-13 : 9781801071918
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Languages :
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Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Dec 23, 2020
Length: 3hrs 59mins
Edition : 1st
Language : English
ISBN-13 : 9781801071918
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total $267.97 $281.97 $14.00 saved
Machine Learning Engineering with Python
$54.99
Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn
$137.99
Machine Learning for Absolute Beginners - Level 2
$99.99
Total $267.97$281.97 $14.00 saved Stars icon

Table of Contents

6 Chapters
Getting Started with Level 2 Chevron down icon Chevron up icon
Python Fundamentals for Data Science Chevron down icon Chevron up icon
Introduction to the pandas Library Chevron down icon Chevron up icon
Loading Data into a Dataframe Chevron down icon Chevron up icon
Data Cleaning and Transformation Chevron down icon Chevron up icon
Course Summary Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(3 Ratings)
5 star 66.7%
4 star 33.3%
3 star 0%
2 star 0%
1 star 0%
Ingo Apr 16, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Good short intro to Python, if you need it. Very nice, short but complete intro into all the variants of selecting, slicing, inserting, dropping, filtering ... data series and frames. I learned a lot in short time. Enough explanation for newbies, and short enough to work as "video cheat sheet".
Subscriber review Packt
Daniel May 21, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great explanatios and very useful content about Pandas
Subscriber review Packt
Dariusz Apr 21, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
The course content is good if you are a beginner in Machine Learning. It introduces to Python, but won't learn how to coding here. I subtract star for lack of subtitles that helped me in the first part of this course.
Subscriber review Packt
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