Just Enough Python for Machine Learning and AI

A Concise Introduction to Python for Machine Learning and AI

Duration

1 hour +

Level

Beginner Level

Design and Tailor this course

Self paced

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This 1-hour self-paced course is designed to provide participants with a solid foundation in using Python for Machine Learning and Artificial Intelligence (AI). The course covers essential Python concepts and libraries commonly used in ML and AI projects. Participants will learn how to apply Python to perform data manipulation, implement machine learning algorithms, and create AI models. The course includes hands-on exercises and practical examples to reinforce the learning experience.

Note: This course is designed as a self-paced learning experience, allowing participants to complete the content at their own pace within the allotted time.

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Professionals or students interested in Machine Learning and Artificial Intelligence
Python developers looking to apply Python in ML and AI projects
Data scientists or analysts aiming to enhance their Python skills for ML and AI tasks

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Introduction to Python for ML and AI

Overview of Python’s role in ML and AI
Setting up Python development environment

Python Basics for ML and AI

Data types and variables
Control structures: loops and conditionals
Functions and modules

Data Manipulation with Python

Introduction to NumPy and Pandas libraries
Handling and preprocessing data
Exploring datasets

Machine Learning with Python

Overview of popular ML algorithms
Supervised and unsupervised learning techniques
Model training and evaluation

Introduction to AI with Python

Understanding Artificial Intelligence and its applications
Introduction to deep learning and neural networks
Building AI models with Python

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Basic understanding of Python programming language
Familiarity with fundamental concepts of machine learning and AI is beneficial but not mandatory

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