Udemy - Data Science with GenAI Analytics - Python + Hugging Face

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[ WebToolTip.com ] Udemy - Data Science with GenAI Analytics - Python + Hugging Face
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Foundations & Kickstarting Your E-commerce GenAI Project
    • 1 - What you're going to get from this course.mp4 (64.5 MB)
    • 2 - What is Generative AI for Data Science.mp4 (143.8 MB)
    • 3 - The Power of Synthetic Data & Why Hugging Face.mp4 (127.8 MB)
    • 4 - Setting Up & Loading Movie Review Data.mp4 (90.0 MB)
    • 5 - Automated Sentiment Analysis for Review Data.mp4 (97.2 MB)
    • 5 -Overview of Generative AI Principles.url (0.1 KB)
    2 - Text Analysis for Your Movie Review Project Sentiment & Key Insights
    • 1 - Visualizing Sentiment and Preparing for Generative AI.mp4 (151.1 MB)
    • 2 - Preparing Data for Your Report.mp4 (115.2 MB)
    • 3 - Constructing Your AI-Powered Product Report (Core Content).mp4 (104.9 MB)
    • 4 - Outputting & Presenting Your E-commerce Analytics Report.mp4 (115.4 MB)
    • 4 -Prompt Engineering Techniques.url (0.1 KB)
    3 - Building & Reviewing Your Concise Movie Review Analytics Report
    • 1 - Project Blueprint Review Your Streamlined Pipeline.mp4 (163.7 MB)
    • 2 - Optimizing & Iterating on Your GenAI Pipeline (Part 1).mp4 (123.2 MB)
    • 3 - Responsible AI & Final Remarks.mp4 (105.8 MB)
    • 4 - Optimizing & Iterating on Your GenAI Pipeline (Part 2).mp4 (127.0 MB)
    • 5 - Conclusion and Closing Statements.mp4 (46.2 MB)
    • 5 -6 types of AI content moderation and how they work.url (0.1 KB)
    • Bonus Resources.txt (0.1 KB)

Description

Data Science with GenAI Analytics: Python + Hugging Face

https://WebToolTip.com

Published 9/2025
Created by Orants AI,Reza Mora
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 29m ) | Size: 1.53 GB

From Raw Data to AI-Powered Insights: Building Modern Analytics Pipelines with Python and Transformers

What you'll learn
Describe the core concepts of Generative AI and its role in enhancing data science workflows, including the generation of synthetic data.
Analyze unstructured text data using Hugging Face Transformers to perform sentiment analysis and extract key insights.
Design and implement a Python pipeline for data prep, sentiment analysis, and LLM summarization to generate and validate analytical reports programmatically.
Evaluate ethical considerations and best practices for responsible implementation of Generative AI in data science projects.

Requirements
Python programming fundamentals
Basic use of Jupyter notebooks or similar
Familiarity with AI language tools (e.g., understanding of what an LLM does)
Basic understanding of data structures and manipulation (pandas)



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Udemy - Data Science with GenAI Analytics - Python + Hugging Face

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1.5 GB
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leechers:3
Udemy - Data Science with GenAI Analytics - Python + Hugging Face

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