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Libraries in Python For AI,ML & Data Science

Learn the popular tools and libraries for AI, ML and Data Science in our all in one course

Eduonix Learning Solutions Pvt Ltd


£29 inc VAT
Study method
Online, On Demand What's this?
3.8 hours · Self-paced
No formal qualification
  • Reed Courses Certificate of Completion - Free

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Do you want to learn the most important tools of Artificial intelligence and Machine Learning? Then we’ve got a perfectly designed course for you.

Artificial Intelligence has enabled the processing of a large number of data and its use in the domain. There are several tools, frameworks, and libraries available to data scientists and developers, but knowing when and how to use these tools is a must. This course on basic artificial intelligence tools will help you gain this knowledge practically.


3h 47m
    • 1: Course Introduction 02:03
    • 2: Section Introduction 01:13
    • 3: Numpy 16:32
    • 4: Pandas 17:50
    • 5: Summary 00:50
    • 6: Section Introduction 01:03
    • 7: Matplotlib 10:08
    • 8: Seaborn 11:26
    • 9: Summary 00:41
    • 10: Section Introduction 01:07
    • 11: SciPy 14:35
    • 12: Scikit-Learn - Standardization and Normalization 10:46
    • 13: Scikit-Learn - Encode Categorical Features and Fill Missing Values 20:41
    • 14: Scikit-Learn - Load and Explore the Iris data 11:39
    • 15: Scikit-Learn - Build Your First Model 18:23
    • 16: Scikit-Learn - Construct an Supervised Model 16:58
    • 17: Summary 00:53
    • 18: Section Introduction 01:22
    • 19: Steps of Data Exploration and Preparation - 1 12:43
    • 20: Steps of Data Exploration and Preparation - 2 19:32
    • 21: Implement Data Exploratory Analysis - 1 14:31
    • 22: Implement Data Exploratory Analysis - 2 20:16
    • 23: Summary 01:48

Course media


Major Topics This Course Covers

  • Pandas and NumPy

  • Matplotlib and Seaborn

  • Scikit Learn and Scipy

  • Exploratory Data Analysis

To become a successful data scientist or developer, you need to master these above libraries. These AI libraries will help you build reliable AI projects. In this course, you'll learn how to use these tools to visualize data and prepare data sets for AI and machine learning projects.

You'll also learn how to use these tools to build projects from scratch. In this course, we'll be covering topics that will help you learn how to validate AI models and interpret models. The course curriculum features real examples that will help you learn all the tool features efficiently.

So why are you waiting now? Start your journey to become a complete AI specialist with this course!

See You In Class!

Who is this course for?

Anyone who wants to quickly master the most important tools for AI&ML will find this course very useful


Basic knowledge of Python is required to complete this course

Questions and answers

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Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.


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Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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