Training Video Bundle-5
π Machine Learning Training Videos for the Hotel Industry
Boost Revenue β’ Predict Guest Behavior β’ Automate Decisions
(Premium ML Training Videos β’ Real Hotel Scenarios β’ Instant Download)
Are you looking to master Machine Learning using practical, real-world hotel industry examples?
This exclusive video bundle gives you clear, scenario-based training so you can apply ML models directly to hotel operations, marketing, forecasting, and revenue management.
Perfect for:
β Hotel Managers & Analysts
β Data Science Students
β Hospitality Industry Professionals
β Revenue Managers
β Anyone who wants hands-on ML practice with real scenarios
πΌ What Youβll Learn (Video List Included)
Each video teaches a different Machine Learning technique through hotel-specific real scenarios, making concepts intuitive, practical, and job-ready.
β 1. Anomaly Detection
Identify unusual booking patterns, fraud, rate code errors, and irregular guest behavior.
β 2. Association Rules
Discover relationships between guest purchases (spa + premium room, late checkout + F&B, etc.).
β 3. Collaborative Filtering
Build a recommendation engine for personalized guest experiences (activities, rooms, upgrades).
β 4. Customer Segmentation
Segment guests by demographics, behavior, and spending to tailor marketing campaigns.
β 5. Decision Trees
Predict guest decisions such as upgrade likelihood or booking conversion.
β 6 & 7. K-Means Clustering (Two Scenarios)
Cluster guests, stays, or booking patterns with real hospitality datasets.
β 8 & 9. K-Nearest Neighbour (Two Scenarios)
Predict guest preferences, classify behaviors, and personalize offers.
β 10. Logistic Regression
Forecast booking probability and predict guest response to promotions.
β 11. Loyalty Member Churn Prediction
Identify which loyalty program members are at risk of leaving.
β 12. Random Forest
Build stronger predictive models for cancellations, upsells, and no-show risks.
β 13. Reinforcement Learning
Optimize pricing decisions, room allocation, and service recommendations.
β 14. Time Series Forecasting
Create accurate room demand and revenue forecasts based on historical data.
π₯ Whatβs Included in the Download
β Training Videos
β Easy-to-follow explanations
β Real hotel business case studies
β Beginner-friendly + industry relevant
β High-quality step-by-step walkthroughs
β Quick practical applications for analysts & managers
File list:
- ANOMALY DETECTION (6 MB)
- ASSOCIATION RULES (8.3 MB)
- COLLABORATIVE FILTERING (10.7 MB)
- CUSTOMER SEGMENTATION (8.6 MB)
- DECISION TREES (8.5 MB)
- K-MEANS CLUSTERING (7.1 MB + 9.2 MB)
- K NEAREST NEIGHBOUR (6.5 MB & 9.2 MB)
- LOGISTIC REGRESSION (5.2 MB)
- LOYALTY MEMBER CHURN PREDICTION (7.3 MB)
- RANDOM FOREST (9.3 MB)
- REINFORCEMENT LEARNING (7.8 MB)
- TIME SERIES FORECASTING (8 MB)
π Why This Bundle Is Different
Most ML courses teach theory.
This one teaches actual business impact in hotels, such as:
β Increasing direct bookings
β Personalizing guest experiences
β Reducing churn
β Improving occupancy accuracy
β Enhancing revenue management
β Predicting peak demand
β Automating guest insights
Youβll walk away with ML skills that directly apply to hotel operations, strategy, and analytics.
π Ideal For
- Hotel & resort professionals
- Hospitality students
- Data science newcomers
- Revenue & marketing analysts
- Anyone transitioning into hotel analytics
- People preparing for hospitality tech roles
π³ Instant Access β Download Immediately After Purchase
Start learning real-world hotel ML skills today.
π Click βBuy Nowβ to download all training videos instantly.