Udemy - SAS Certified Professional - AI and Machine Learning Mastery
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size3.5 GB
- Uploaded Byfreecoursewb
- Downloads20
- Last checkedJul. 03rd '26
- Date uploadedJul. 02nd '26
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Infohash : 2833700072BED0428CB17861FE03E9196835AC1F
SAS Certified Professional: AI & Machine Learning Mastery
https://WebToolTip.com
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 43m | Size: 3.48 GB
Complete SAS Viya AI/ML Training with Real-World Case Studies & Certification Preparation.
What you'll learn
Master the SAS Viya environment and tools
Understand core AI and Machine Learning concepts
Perform data cleaning, transformation, and feature engineering
Build supervised models (Regression, Decision Trees, Random Forests, Gradient Boosting)
Apply unsupervised learning techniques (Clustering, PCA, Association Rules)
Develop deep learning models including CNNs and RNNs
Evaluate and optimize model performance using advanced metrics
Deploy machine learning models into production environments
Monitor models and handle concept drift
Solve real-world business problems using AI (churn prediction, fraud detection)
Requirements
Basic understanding of statistics and mathematics
Familiarity with programming concepts (any language)
No prior SAS experience required (covered from basics)
A computer with internet access
Willingness to learn and practice hands-on exercises
Files:
[ WebToolTip.com ] Udemy - SAS Certified Professional - AI and Machine Learning Mastery- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction to SAS AI & Machine Learning
- 1 - Introduction.mp4 (82.2 MB)
- 2 - Course Overview and Certification Path.mp4 (102.2 MB)
- 3 - Introduction to SAS Viya and SAS Studio.mp4 (158.3 MB)
- 4 - AI and Machine Learning Fundamentals.mp4 (88.4 MB)
- 5 - SAS Programming Basics for AI ML.mp4 (114.7 MB)
- 6 - Setting Up Your SAS Environment.mp4 (126.5 MB)
- 10 - Exploratory Data Analysis with SAS.mp4 (115.0 MB)
- 11 - Data Visualization Best Practices.mp4 (111.3 MB)
- 7 - Data Import and Export in SAS.mp4 (121.5 MB)
- 8 - Data Cleaning and Quality Assessment.mp4 (85.9 MB)
- 9 - Feature Engineering Techniques.mp4 (139.0 MB)
- 12 - Linear and Logistic Regression.mp4 (104.4 MB)
- 13 - Decision Trees and Random Forests.mp4 (137.1 MB)
- 14 - Gradient Boosting and XGBoost.mp4 (117.1 MB)
- 15 - Support Vector Machines.mp4 (141.3 MB)
- 16 - Model Evaluation and Validation.mp4 (122.9 MB)
- 17 - Hyperparameter Tuning.mp4 (132.7 MB)
- 18 - K-Means Clustering.mp4 (102.1 MB)
- 19 - Hierarchical Clustering.mp4 (121.4 MB)
- 20 - Principal Component Analysis.mp4 (119.4 MB)
- 21 - Association Rule Mining.mp4 (135.4 MB)
- 22 - Neural Network Fundamentals.mp4 (96.3 MB)
- 23 - Building Neural Networks in SAS.mp4 (96.9 MB)
- 24 - Convolutional Neural Networks.mp4 (84.4 MB)
- 25 - Recurrent Neural Networks.mp4 (127.3 MB)
- 26 - Transfer Learning and Pre-trained Models.mp4 (85.0 MB)
- 27 - Deploying Models to Production.mp4 (104.9 MB)
- 28 - Model Performance Monitoring.mp4 (133.5 MB)
- 29 - Model Retraining Strategies.mp4 (82.3 MB)
- 30 - Case Study 1 Customer Churn Prediction for Telecom.mp4 (128.8 MB)
- 31 - Case Study 2 Fraud Detection in Financial Transactions.mp4 (148.3 MB)
- Bonus Resources.txt (0.1 KB)
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