Libraries in Python For AI ML Data Science

Published 08/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (3h 47m) | Size: 2.11 GB

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

What you’ll learn
Learn the most important tools for mastering AI, ML and Data Science
Learn to use Pandas and Numpy
Learn to use matplotlib and seaborn libraries
Learn the fundamentals of Data analysis

Requirements
Basic knowledge of Python is required to complete this course

Description
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.

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


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