Udemy - AI Agents and Automation - Data Analyze Prep - Descriptive Stats

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.6 GB
  • Uploaded Byfreecoursewb
  • Downloads16
  • Last checkedJul. 31st '25
  • Date uploadedJul. 31st '25
  • Seeders 1
  • Leechers14

Infohash : 9238E4334B4394F97258A2CF13417E962CA11CBE

AI Agents & Automation: Data Analyze Prep/Descriptive Stats

https://WebToolTip.com

Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 21m | Size: 1.57 GB

Master Data Science With AI : From Data Prep to Deployment/Predictive Analytics & ETL Basics / Big Data, and Analytics /

What you'll learn
The fundamentals of PD model development and its applications.
Advanced techniques for optimizing and scaling PD models.
How to automate PD models for maximum efficiency.
Real-world case studies and their practical applications.
Tools and software essential for PD model development.
Strategies for troubleshooting and overcoming common challenges.
How to integrate PD models into business workflows.
Techniques for maximizing ROI with PD models.
Building scalable and sustainable PD models.
Best practices for testing and deploying PD models.
How to use PD models to unlock new revenue streams.
Advanced optimization techniques for better performance.
How to stay updated with the latest trends and tools in PD model development.
Practical tips for managing and maintaining PD models.
How to position yourself as an expert in PD model development.

Requirements
Basic understanding of programming concepts.
A computer with internet access.
Willingness to learn and apply new skills.
No prior experience in PD model development is required.
A passion for problem-solving and innovation.

Files:

[ WebToolTip.com ] Udemy - AI Agents and Automation - Data Analyze Prep - Descriptive Stats
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Foundations of Predictive Modeling
    • 1 -Introduction to Predictive Modeling.mp4 (76.2 MB)
    • 2 -Understanding Data Preprocessing.mp4 (74.3 MB)
    • 3 -The Role of Statistics in Model Development.mp4 (80.1 MB)
    • 4 -Data Balancing Techniques An Overview.mp4 (89.3 MB)
    • 5 -Scaling and Normalization Why It Matters.mp4 (78.3 MB)
    • 6 -Feature Engineering for Predictive Models.mp4 (74.1 MB)
    • 7 -Exploratory Data Analysis (EDA) for Model Insights.mp4 (64.5 MB)
    2 - Advanced Data Balancing and Scaling Techniques
    • 1 -Common Challenges in Data Preparation.mp4 (70.9 MB)
    • 2 -Data Preprocessing in Action.mp4 (71.3 MB)
    • 3 -Advanced Data Balancing Techniques.mp4 (82.7 MB)
    • 4 -Handling Imbalanced Datasets with SMOTE.mp4 (74.2 MB)
    • 5 -Scaling Methods Min-Max, Standardization, and More.mp4 (80.5 MB)
    • 6 -Impact of Scaling on Model Performance.mp4 (82.1 MB)
    • 7 -Practical Guide to Feature Scaling.mp4 (73.4 MB)
    3 - Monitoring and Optimizing Predictive Models
    • 1 -Real-World Applications of Data Balancing.mp4 (84.9 MB)
    • 2 -Scaling and Balancing in Machine Learning Pipelines.mp4 (86.5 MB)
    • 3 -Balancing and Scaling in Practice.mp4 (88.9 MB)
    • 4 -Advanced Balancing and Scaling Techniques.mp4 (101.6 MB)
    • 5 -Summary and Key Takeaways.mp4 (90.2 MB)
    • 6 -Final Thoughts and Next Steps.mp4 (88.1 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce