Python Powerhouse Gen AI From Basics to Advanced Programming
Welcome to Master the Machine Muse: Python Programming for Generative Art & Design, a comprehensive course designed to blend the realms of art and technology through the power of Python programming. This course is meticulously crafted for those who wish to harness the capabilities of Python and generative AI to create stunning visual art and innovative design solutions. In this course, you'll embark on a journey that starts with the fundamentals of Python and progresses through advanced techniques in generative art and design. Whether you're a beginner or an experienced programmer, this course provides a structured pathway to mastering Python’s essential features and applying them to the creative field of generative art. Section 1: Lists and Tuples in Python Begin your journey by understan
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Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Python Powerhouse Gen AI From Basics to Advanced Programming
1 Exercises • 24 Learning Materials
Introduction to Python and Lists
Python Lists Your Creative Toolkit
Mastering List Magic: Advanced Techniques
From Data to Art: Lists and Tuples in Action
Create a Python Script
Sets and Dictionaries
Unleash Your Creativity with Sets
Organizing Your Art with Dictionaries
Text Alchemy: String Manipulation in Python
Date and Time Operations
Time as Art: Working with Dates and Times in Python
Data-Driven Storytelling: Customer Churn Prediction
The Power of Lambda: Functional Programming for Artists
Advanced Functional Programming
Map, Reduce, and Conquer: Functional Programming Essentials
Building Blocks of Creativity: Functions in Python
Function Mastery: Arguments, Scope, and Beyond
Recursion and Global Variables
Recursive Art: Unlocking Patterns with Python
Time as a Feature: Engineering with Datetime
Unveiling the Iris Dataset: A Machine Learning Prelude
Standard Libraries and EDA
Python's Math and Random Toolbox
Exploring Your Data: File Handling and EDA
Finding Patterns: Correlation and Visualization
Distribution and Outlier Detection
Finding Patterns: Correlation and Visualization
Spotting the Unusual: Outlier Detection Techniques
Mastering Outliers: Advanced Detection Strategies
Data Preprocessing and Model Building
Data Preparation: The Foundation for Artful Insights
Predictive Art: Building Logistic Regression Models
Assignment
PYTHON ASSIGNMENT
Course Instructor
Mentor
27 Courses • 2698 Students
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