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Home » Courses » Python Powerhouse Gen AI From Basics to Advanced Programming

Python Powerhouse Gen AI From Basics to Advanced Programming

  • By Akhil Vydyula
  • Python
  • (0 Rating)
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    • 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.

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      Course Content

      Section 1: Introduction to Python and Lists

      • Python Lists: Your Creative Toolkit
        06:48
      • Mastering List Magic: Advanced Techniques
        06:23
      • From Data to Art: Lists and Tuples in Action
        05:43

      Section 2: Sets and Dictionaries

      • Unleash Your Creativity with Sets
        05:42
      • Organizing Your Art with Dictionaries
        04:20
      • Text Alchemy: String Manipulation in Python
        06:06

      Section 3: Date and Time Operations

      • Time as Art: Working with Dates and Times in Python
        04:00
      • Data-Driven Storytelling: Customer Churn Prediction
        14:11
      • The Power of Lambda: Functional Programming for Artists
        00:00

      Section 4: Advanced Functional Programming

      • Map, Reduce, and Conquer: Functional Programming Essentials
        04:39
      • Building Blocks of Creativity: Functions in Python
        04:48
      • Function Mastery: Arguments, Scope, and Beyond
        07:14

      Section 5: Recursion and Global Variables

      • Recursive Art: Unlocking Patterns with Python
        10:18
      • Time as a Feature: Engineering with Datetime
        04:37
      • Unveiling the Iris Dataset: A Machine Learning Prelude
        09:15

      Section 6: Standard Libraries and EDA

      • Python’s Math and Random Toolbox
        07:00
      • Exploring Your Data: File Handling and EDA
        05:26
      • Finding Patterns: Correlation and Visualization
        07:23

      Section 7: Distribution and Outlier Detection

      • Data Distributions: Telling Your Story
        06:25
      • Spotting the Unusual: Outlier Detection Techniques
        06:45
      • Mastering Outliers: Advanced Detection Strategies
        04:13

      Section 8: Data Preprocessing and Model Building

      • Data Preparation: The Foundation for Artful Insights
        06:57

      A course by

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      Akhil Vydyula

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      Course Includes:

      • Price:Free
      • Instructor:Akhil Vydyula
      • Lessons:22
      • Students:0
      • Level:Intermediate
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