| 1 - Course Outline and Goal.mp4 | 20.4 MB | ||
| 10 - Data Structures in Python.mp4 | 52.4 MB | ||
| 11 - Control flows in python.mp4 | 40 MB | ||
| 12 - Functions in Python.mp4 | 16.7 MB | ||
| 13 - Object Oriented Programming in Python.mp4 | 34.7 MB | ||
| 14 - Regular Expressions in Python.mp4 | 34.3 MB | ||
| 15 - Modules in Python.mp4 | 36.8 MB | ||
| 16 - File Handling in Python.mp4 | 20 MB | ||
| 17 - Error Handling in Python.mp4 | 20.9 MB | ||
| 18 - Essential Python Libraries for Generative AITheory.mp4 | 46.4 MB | ||
| 19 - Data manipulation.mp4 | 33.2 MB | ||
| 2 - Introduction to Generative AI.mp4 | 15.5 MB | ||
| 20 - Data visualization.mp4 | 28.4 MB | ||
| 21 - Image Processing.mp4 | 29.8 MB | ||
| 22 - Machine Learning tools.mp4 | 32.5 MB | ||
| 23 - Model Building and Training.mp4 | 64.9 MB | ||
| 24 - Data Wrangling for Python Part 1.mp4 | 13.1 MB | ||
| 25 - Data Wrangling for Python Part 2.mp4 | 38.2 MB | ||
| 26 - Advanced Python Concepts.mp4 | 45.8 MB | ||
| 27 - Generative AI Libraries.mp4 | 48.3 MB | ||
| 28 - Understanding Generative Adversarial Networks.mp4 | 22.5 MB | ||
| 29 - Constructing Your First GAN with Python.mp4 | 78.8 MB | ||
| 3 - Applications in Advanced Analytics.mp4 | 18 MB | ||
| 30 - Model Training and Optimization Techniques.mp4 | 46.5 MB | ||
| 31 - Troubleshooting Training Challenges.mp4 | 47.4 MB | ||
| 32 - Understanding Model Performance.mp4 | 21 MB | ||
| 33 - Data Generation.mp4 | 28.3 MB | ||
| 34 - Augmentation for Improved Analysis.mp4 | 20.2 MB | ||
| 35 - Advanced Text Analysis with Generative AI.mp4 | 15.1 MB | ||
| 36 - Generative AI for Images Signals.mp4 | 15.1 MB | ||
| 37 - 75Predictive Analytics with Generative AI.mp4 | 12.6 MB | ||
| 38 - Analytics Insights with Generative AI.mp4 | 15.6 MB | ||
| 39 - Applications of Generative AI in Advanced Analytics.mp4 | 10 MB | ||
| 4 - Different types of Generative Models.mp4 | 23.6 MB | ||
| 40 - 81Data Collection Preprocessing.mp4 | 49 MB | ||
| 41 - 82Model Building.mp4 | 35.3 MB | ||
| 42 - 83Data Generation Trend Analysis.mp4 | 13 MB | ||
| 43 - Evaluation.mp4 | 21.5 MB | ||
| 44 - Course Recap and Key Learnings.mp4 | 17.1 MB | ||
| 45 - The Future of Generative AI and Impact on Advanced Analytics.mp4 | 25 MB | ||
| 46 - Additional Resources and Learning Paths.mp4 | 13.7 MB | ||
| 5 - Generative AI vs Traditional ML.mp4 | 28.5 MB | ||
| 6 - Course Structure and Learning Objectives.mp4 | 12.1 MB | ||
| 7 - Python for Generative AI Workflows.mp4 | 40.5 MB | ||
| 8 - Setting Up the Environment.mp4 | 32.5 MB | ||
| 9 - Variables and Data types.mp4 | 28.9 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 48 total files | |||
Master Python & Generative Ai For Advanced Analytics
https://DevCourseWeb.com
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.33 GB | Duration: 3h 44m
Master Python and Generative AI to enhance your skills in advanced analytics
What you'll learn
Understand the core concepts and applications of Generative AI.
Master Python programming for building AI-driven analytical models.
Implement Generative Adversarial Networks (GANs) in Python.
Learn data augmentation techniques for advanced analytics.
Explore text analysis and processing with Generative AI tools.
Apply image processing techniques using Python and AI libraries.
Optimize model performance through training and troubleshooting.
Use Python libraries for data manipulation and visualization.
Develop predictive models using AI-driven insights.
Gain practical experience with real-world projects in analytics.
Requirements
Basic understanding of Python programming
Familiarity with machine learning concepts is helpful but not required
Access to a computer with Python installed
Willingness to learn
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| 723.6 MB | freecoursewb | 2 weeks | 25 | 11 | |
| 621.5 MB | freecoursewb | 2 weeks | 15 | 1 | |
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