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Language:
English
Total Size:
3.7 GB
Info Hash:
6A96777D3F9BE33DA265F67444E555BFB41CA692
Added By:
Added:
March 19, 2026, 6:09 p.m.
Stats:
|
(Last updated: March 19, 2026, 6:23 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 1. 1-1Intrioduction.pdf | 15.2 MB |
| 1. 1-AI for Energy Efficiency_ From Traditional Audits to Data-Driven Optimization.pdf | 383.8 KB |
| 1. Coursera_Premium_Learning_Roadmap_Tracker.pdf | 3.9 KB |
| 1. Introduction (Description).html | 952 bytes |
| 1. Introduction.mp4 | 28.0 MB |
| 1. Slide1.PNG | 530.8 KB |
| 2. Energy Challenges (Description).html | 1.9 KB |
| 2. Energy Challenges.mp4 | 41.2 MB |
| 2. SPM_version_report_LR.pdf | 799.3 KB |
| 2. Slide2.PNG | 94.4 KB |
| 2. Slide3.PNG | 109.8 KB |
| 2. Slide4.PNG | 139.2 KB |
| 3. From Energy 1.0 to Energy 4.0 (Description).html | 725 bytes |
| 3. From Energy 1.0 to Energy 4.0.mp4 | 40.4 MB |
| 4. Energy_Data_Dictionary_Template.xlsx | 5.9 KB |
| 4. Energy_Metering_Math_Cheat_Sheet.pdf | 3.0 KB |
| 4. Industrial_Telemetry_Mapping_One_Pager.pdf | 3.2 KB |
| 4. Slide5.PNG | 92.4 KB |
| 4. Slide6.PNG | 114.4 KB |
| 4. Traditional_vs_AI_Energy_Analytics_Comparison.pdf | 2.5 KB |
| 4. Why AI For Energy (Description).html | 1.8 KB |
| 4. Why AI For Energy.mp4 | 51.4 MB |
| 5. AI_Use_Case_Cards_Energy.pdf | 7.1 KB |
| 5. Anomaly_Detection_Quickstart_Playbook.pdf | 3.1 KB |
| 5. Audit_Limits_to_AI_Fix_One_Pager.pdf | 2.8 KB |
| 5. Energy_Engineer_Skill_Matrix.xlsx | 8.8 KB |
| 5. Limitation Of Energy Audit (Description).html | 4.0 KB |
| 5. Limitation Of Energy Audit.mp4 | 54.8 MB |
| 5. MV_Mini_Guide_IPMVP_Style.pdf | 3.5 KB |
| 5. Peak_and_Demand_Charges_Explainer.pdf | 3.0 KB |
| 5. Savings_Persistence_Checklist.pdf | 2.5 KB |
| 5. Slide10.PNG | 214.4 KB |
| 5. Slide7.PNG | 123.5 KB |
| 5. Slide8.PNG | 129.7 KB |
| 5. Slide9.PNG | 74.2 KB |
| 5. Tool_Stack_Cheat_Sheet.pdf | 2.5 KB |
| 5. _Energy_4_0_Career_Roadmap.pdf | 2.7 KB |
| 6. AI_energy_prediction_template 2.xlsx | 28.8 KB |
| 6. Real Example of AI in DATA (Description).html | 1.2 KB |
| 6. Real Example of AI in DATA.mp4 | 112.4 MB |
| 7. The New Role Of Energy Engineers (Description).html | 1.8 KB |
| 7. The New Role Of Energy Engineers.mp4 | 41.7 MB |
| 8. AI_energy_real_applications22.xlsx | 22.0 KB |
| 8. Real Application AI on Data (Description).html | 1.1 KB |
| 8. Real Application AI on Data.mp4 | 117.7 MB |
| 10. 2-Understanding Energy Data for Machine Learning.pdf | 527.0 KB |
| 10. Module01_Context_Features_Cheat_Sheet.pdf | 3.3 KB |
| 10. Module01_Energy_Context_Log_Template.xlsx | 5.5 KB |
| 10. Module01_Energy_Curve_Interpretation_Guide.pdf | 4.9 KB |
| 10. Module01_Energy_Time_Series_Fundamentals_1pager.pdf | 3.5 KB |
| 10. Module01_MiniLab_TimeSeries_Behavior_Template.ipynb.bin | 4.9 KB |
| 10. Module01_Mini_Exercise_Energy_Curve_Reading_with_Solutions.pdf | 4.0 KB |
| 10. Why Data Energy is Different (Description).html | 2.4 KB |
| 10. Why Data Energy is Different.mp4 | 45.8 MB |
| 10. energy_data_15min.csv | 637.2 KB |
| 11. Hands On Energy Data (Description).html | 1.5 KB |
| 11. Hands On Energy Data.mp4 | 134.0 MB |
| 11. Module01_MiniLab_TimeSeries_Behavior_Template.ipynb.bin | 405.5 KB |
| 11. Module01_MiniLab_TimeSeries_Behavior_Template.py | 3.3 KB |
| 11. energy_data_15min.csv | 637.2 KB |
| 12. Energy Data and Load Curve (Description).html | 2.0 KB |
| 12. Energy Data and Load Curve.mp4 | 28.1 MB |
| 12. Load_Curves_Energy_Fingerprint_Guide.pdf | 4.8 KB |
| 12. MiniLab_Load_Curve_Fingerprint_Practice_Dataset.csv | 319.4 KB |
| 12. MiniLab_Load_Curve_Fingerprint_Template.ipynb.bin | 3.6 KB |
| 12. Mini_Exercise_Types_of_Energy_Data_and_Load_Curves_with_Solutions.pdf | 3.8 KB |
| 12. Multi_Source_Energy_Data_Requirements_Planner.xlsx | 5.6 KB |
| 12. Types_of_Energy_Data_Data_Map_OnePager.pdf | 2.9 KB |
| 12. powerconsumption.csv | 4.1 MB |
| 13. EnPI_Selection_Matrix_Buildings_vs_Industry.pdf | 2.6 KB |
| 13. Energy Performance Indicators (Description).html | 2.3 KB |
| 13. Energy Performance Indicators.mp4 | 21.3 MB |
| 13. Energy_Performance_Indicators_EnPI_Cheat_Sheet.pdf | 3.5 KB |
| 13. Energy_Performance_Indicators_EnPI_Tracker_Template.xlsx | 19.5 KB |
| 13. MiniLab_EnPI_Computation_Template.ipynb.bin | 3.1 KB |
| 13. Mini_Exercise_Energy_Performance_Indicators_with_Solutions.pdf | 3.8 KB |
| 14. Hands On kPIs (Description).html | 1.7 KB |
| 14. Hands On kPIs.mp4 | 92.4 MB |
| 14. MiniLab_EnPI_Computation_Template.ipynb.bin | 125.4 KB |
| 14. MiniLab_EnPI_Computation_Template.py | 1.6 KB |
| 14. enpi_inputs.csv | 17.5 KB |
| 15. Baseload_vs_Variable_Load_Separation_Guide.pdf | 2.7 KB |
| 15. MiniLab_Normalization_DegreeDays_Baseload_Template.ipynb.bin | 3.9 KB |
| 15. Mini_Exercise_Normalization_DegreeDays_Production_with_Solutions.pdf | 3.6 KB |
| 15. Normalization_Essentials_Cheat_Sheet.pdf | 2.9 KB |
| 15. Normalization_Weather_Production_Calculator.xlsx | 20.3 KB |
| 15. Weather and Production Dependency (Description).html | 2.0 KB |
| 15. Weather and Production Dependency.mp4 | 19.3 MB |
| 15. Weather_Normalization_Degree_Days_Guide.pdf | 2.9 KB |
| 15. normalization_inputs.csv | 6.4 KB |
| 16. Feature Engineering and Machine Learning (Description).html | 2.4 KB |
| 16. Feature Engineering and Machine Learning.mp4 | 40.4 MB |
| 16. Feature_Engineering_Checklist_Printable.pdf | 3.0 KB |
| 16. Feature_Engineering_Planner_and_Catalog.xlsx | 6.5 KB |
| 16. Feature_Engineering_Playbook_for_Energy_ML.pdf | 3.7 KB |
| 16. MiniLab_Feature_Engineering_Energy_Template.ipynb.bin | 4.6 KB |
| 16. Mini_Exercise_Feature_Engineering_Energy_with_Solutions.pdf | 3.5 KB |
| 16. energy_data.csv | 119.7 KB |
| 17. Hands On Feature Engineering (Description).html | 1.5 KB |
| 17. Hands On Feature Engineering.mp4 | 118.1 MB |
| 18. Bonus Unloking Energy Saving with Data (Description).html | 1.8 KB |
| 18. Bonus Unloking Energy Saving with Data.mp4 | 144.7 MB |
| 9. Note On Attachements.mp4 | 26.6 MB |
| 19. -Introduction & Learning Path (Description).html | 1.2 KB |
| 19. -Introduction & Learning Path.mp4 | 17.6 MB |
| 19. 3-Python & Data Engineering for Energy - Module 3.pdf | 1.2 MB |
| 19. Module3_Energy_Data_Pipeline_Checklist.xlsx | 6.8 KB |
| 19. Module3_MiniLab_Python_TimeSeries_Energy_Template.ipynb.bin | 5.1 KB |
| 19. Module3_Pandas_TimeSeries_Cheat_Sheet.pdf | 2.5 KB |
| 19. Module3_Python_Data_Engineering_for_Energy_Quick_Handbook.pdf | 3.6 KB |
| 19. Module3_Quiz_Python_TimeSeries_Cleaning_Features_with_Solutions.pdf | 3.8 KB |
| 19. your_energy_data (1).csv | 154.0 KB |
| 20. Industrial_Energy_Dataset_Structure_Schema_and_Pitfalls.pdf | 3.1 KB |
| 20. MiniLab_Slides3-4_Python_Energy_and_Dataset_Structure.ipynb.bin | 4.0 KB |
| 20. Python In Energy Industry (Description).html | 2.3 KB |
| 20. Python In Energy Industry.mp4 | 44.3 MB |
| 20. Python_in_Energy_Toolkit_Map.pdf | 3.2 KB |
| 20. Streaming_and_Storage_Quick_Guide_for_Energy_Data.pdf | 2.5 KB |
| 20. Video_Slides3-4_Ingestion_and_Validation_Checklist.xlsx | 5.6 KB |
| 20. energy.csv | 476.6 KB |
| 21. Hands on Data Set Energy.mp4 | 22.3 MB |
| 22. MiniLab_Slides5-6_Pandas_TimeSeries_Energy_DETAILED.ipynb.bin | 7.7 KB |
| 22. Pandas Fundamental & Time Series Handling (Description).html | 2.2 KB |
| 22. Pandas Fundamental & Time Series Handling.mp4 | 48.3 MB |
| 22. Slides5-6_Pandas_TimeSeries_Command_Reference_and_Practice.xlsx | 6.8 KB |
| 22. Slides5-6_Pandas_and_TimeSeries_Deep_Handbook.pdf | 5.9 KB |
| 22. Slides5-6_Quiz_Pandas_TimeSeries_for_Energy_with_Solutions.pdf | 3.8 KB |
| 22. sample_energy_dataset_hourly_1year.csv | 532.9 KB |
| 23. Data Cleaning &Feature Engineering (Description).html | 2.4 KB |
| 23. Data Cleaning &Feature Engineering.mp4 | 94.0 MB |
| 23. Data_Quality_Report_Template_Energy.xlsx | 7.2 KB |
| 23. Feature_Engineering_Catalog_and_Planner_Energy.xlsx | 6.6 KB |
| 23. MiniLab_Slides7-8_Cleaning_and_Feature_Engineering_Energy_END2END.ipynb.bin | 8.0 KB |
| 23. Slides7-8_Data_Cleaning_and_Feature_Engineering_DEEP_Handbook.pdf | 5.3 KB |
| 23. Slides7-8_Quiz_Cleaning_and_Features_Energy_with_Solutions.pdf | 4.2 KB |
| 23. practice_cumulative_meter_with_rollover.csv | 79.0 KB |
| 23. practice_energy_interval_dataset_dirty.csv | 411.8 KB |
| 24. MiniLab_Time_Aware_Splits_Energy_3_Methods.ipynb.bin | 5.1 KB |
| 24. Time_Aware_Split_Planner_and_Leakage_Checklist.xlsx | 6.7 KB |
| 24. Time_Aware_Split_Quiz_with_Solutions.pdf | 3.5 KB |
| 24. Time_Aware_Validation_Playbook_Energy.pdf | 4.2 KB |
| 24. Train Test Split (Description).html | 1.9 KB |
| 24. Train Test Split.mp4 | 27.0 MB |
| 24. practice_timeseries_regime_change_hourly.csv | 157.5 KB |
| 25. Critical Learning & Best practices (Description).html | 1.7 KB |
| 25. Critical Learning & Best practices.mp4 | 33.7 MB |
| 25. Module3_MiniProject_7Day_Roadmap.pdf | 2.3 KB |
| 25. Module3_Production_Readiness_Checklist.xlsx | 5.7 KB |
| 25. Module3_Resource_Pack_Key_Takeaways_Next_Steps.txt | 895 bytes |
| 25. Module3_WrapUp_Handbook_Key_Takeaways_and_Next_Steps.pdf | 4.4 KB |
| 25. Module3_WrapUp_Quiz_with_Solutions.pdf | 2.8 KB |
| 26. 4-Machine Learning Foundations for Engineers.pdf | 1.4 MB |
| 26. Introduction Machine Learning (Description).html | 1.4 KB |
| 26. Introduction Machine Learning.mp4 | 19.1 MB |
| 26. MiniLab_Module4_ML_Foundations_Regression_Classification_Validation.ipynb.bin | 4.6 KB |
| 26. Module4_Bias_Variance_Overfit_Worksheet.xlsx | 6.9 KB |
| 26. Module4_ML_Foundations_Quiz_with_Solutions.pdf | 3.7 KB |
| 26. Module4_ML_Foundations_for_Engineers_DEEP_Handbook (1).pdf | 4.7 KB |
| 26. Module4_ML_Foundations_for_Engineers_DEEP_Handbook.pdf | 4.7 KB |
| 26. Module4_Model_Selection_and_Metrics_Cheat_Sheet.pdf | 2.9 KB |
| 26. practice_engineering_ml_foundations_dataset.csv | 91.3 KB |
| 27. MiniLab_Supervised_vs_Unsupervised_Energy.ipynb.bin | 5.0 KB |
| 27. Supervised & Unsupervised Learning (Description).html | 1.9 KB |
| 27. Supervised & Unsupervised Learning.mp4 | 75.4 MB |
| 27. Supervised_vs_Unsupervised_Energy_Engineering_Deep_Handout.pdf | 5.1 KB |
| 27. Supervised_vs_Unsupervised_Paradigm_Selection_Matrix.xlsx | 6.3 KB |
| 27. Supervised_vs_Unsupervised_Quiz_with_Solutions.pdf | 3.5 KB |
| 27. Suppervised vs unsuppervised.png | 2.5 MB |
| 27. practice_supervised_unsupervised_energy_dataset.csv | 126.1 KB |
| 28. MiniLab_Regression_vs_Classification_Wind_Energy.ipynb.bin | 3.5 KB |
| 28. Regression Vs Classification (Description).html | 1.6 KB |
| 28. Regression Vs Classification.mp4 | 36.5 MB |
| 28. Regression vs Clustring.png | 2.5 MB |
| 28. Regression_Classification_Metrics_Calculator.xlsx | 12.2 KB |
| 28. Regression_vs_Classification_Energy_Engineering_Deep_Handout.pdf | 4.3 KB |
| 28. Regression_vs_Classification_Quiz_with_Solutions.pdf | 3.3 KB |
| 28. practice_regression_classification_wind_energy_dataset.csv | 92.4 KB |
| 29. Hands on Supervised and Unsupervised Learning Loading Data (Description).html | 758 bytes |
| 29. Hands on Supervised and Unsupervised Learning Loading Data.mp4 | 57.7 MB |
| 30. Hands on Supervised and Unsupervised Learning-Supervised Regression.mp4 | 54.0 MB |
| 31. Hands on Supervised and Usupervised Learning -Supervised Classification.mp4 | 54.5 MB |
| 32. Hands on Supervised and Unsupervised Learning - Unsupervised Clustring.mp4 | 59.2 MB |
| 33. Learning_Curves_Diagnosis_Workbook.xlsx | 6.7 KB |
| 33. MiniLab_Overfitting_Underfitting_Learning_Curves.ipynb.bin | 4.8 KB |
| 33. Overfitting Underfitting (Description).html | 1.6 KB |
| 33. Overfitting Underfitting.mp4 | 41.0 MB |
| 33. Overfitting_Underfitting_Quiz_with_Solutions.pdf | 3.3 KB |
| 33. Overfitting_vs_Underfitting_Deep_Handout_Energy_Engineering.pdf | 4.2 KB |
| 33. practice_overfit_underfit_energy_dataset.csv | 908.2 KB |
| 34. Cross_Validation_Planner_and_GoNoGo.xlsx | 6.2 KB |
| 34. MiniLab_Model_Validation_CrossValidation_Metrics.ipynb.bin | 3.5 KB |
| 34. Model Validation Principles (Description).html | 1.8 KB |
| 34. Model Validation Principles.mp4 | 47.9 MB |
| 34. Model_Validation_Principles_Deep_Handout.pdf | 4.3 KB |
| 34. Model_Validation_Principles_Quiz_with_Solutions.pdf | 3.4 KB |
| 34. practice_model_validation_quality_control_dataset.csv | 106.9 KB |
| 35. MiniLab_TimeAware_Validation_KFold_vs_TimeSeriesSplit.ipynb.bin | 3.7 KB |
| 35. Time Aware Validation Why Standard Cv Fails (Description).html | 1.6 KB |
| 35. Time Aware Validation Why Standard Cv Fails.mp4 | 44.8 MB |
| 35. TimeSeries_Validation_Planner.xlsx | 6.2 KB |
| 35. Time_Aware_Validation_Deep_Handout.pdf | 4.2 KB |
| 35. Time_Aware_Validation_Quiz_with_Solutions.pdf | 3.1 KB |
| 35. practice_time_aware_validation_load_forecasting_dataset.csv | 337.5 KB |
| 36. Bias -variance -tradeoff.png | 2.5 MB |
| 36. Bias Variance Trade Off (Description).html | 1.6 KB |
| 36. Bias Variance Trade Off.mp4 | 40.8 MB |
| 36. Bias and variance in detail.pdf | 1.6 MB |
| 36. Bias_Variance_Tradeoff_Deep_Handout_Energy_Engineering.pdf | 4.3 KB |
| 36. Bias_Variance_Tradeoff_Quiz_with_Solutions.pdf | 3.2 KB |
| 36. Bias_Variance_Tuning_Worksheet.xlsx | 6.7 KB |
| 36. MiniLab_Bias_Variance_Tradeoff.ipynb.bin | 4.0 KB |
| 36. practice_bias_variance_tradeoff_dataset.csv | 84.2 KB |
| 37. MiniLab_WalkForward_Validation_TimeSeriesSplit.ipynb.bin | 3.3 KB |
| 37. Time Aware Validation Walk Forward Validation (Description).html | 1.9 KB |
| 37. Time Aware Validation Walk Forward Validation.mp4 | 32.6 MB |
| 37. Time_Series_Validation.pdf | 1.8 MB |
| 37. WalkForward_Validation_Planner.xlsx | 6.4 KB |
| 37. Walk_Forward_Validation_Deep_Handout.pdf | 4.0 KB |
| 37. Walk_Forward_Validation_Quiz_with_Solutions.pdf | 3.2 KB |
| 37. practice_walk_forward_validation_solar_forecasting_dataset.csv | 268.1 KB |
| 38. Energy Systems Practical Consideration (Description).html | 1.8 KB |
| 38. Energy Systems Practical Consideration.mp4 | 39.8 MB |
| 38. Energy_Forecasting_Features_and_Peak_Metrics_Workbook.xlsx | 6.7 KB |
| 38. Energy_Forecasting_Practical_Considerations_Deep_Handout.pdf | 4.4 KB |
| 38. Energy_Forecasting_Practical_Considerations_Quiz_with_Solutions.pdf | 3.1 KB |
| 38. MiniLab_Energy_Forecasting_Practical_Considerations.ipynb.bin | 4.1 KB |
| 38. practice_energy_forecasting_practical_considerations_dataset.csv | 1.0 MB |
| 39. Module4_Engineering_Validation_and_Leakage_Checklist.xlsx | 6.7 KB |
| 39. Module4_WrapUp_ML_Decision_Tree.pdf | 2.5 KB |
| 39. Module4_WrapUp_Mini_Exercise_with_Solutions.pdf | 3.3 KB |
| 39. Module4_WrapUp_Six_Key_Takeaways_OnePager.pdf | 2.7 KB |
| 39. Summary And Keys Takeways (Description).html | 1.7 KB |
| 39. Summary And Keys Takeways.mp4 | 53.5 MB |
| 40. 5-Predictive Modeling for Energy - Module 5.pdf | 1.1 MB |
| 40. Introduction And Learning Path (Description).html | 1.1 KB |
| 40. Introduction And Learning Path.mp4 | 30.0 MB |
| 40. MiniLab_Module5_Predictive_Modeling_for_Energy.ipynb.bin | 5.9 KB |
| 40. Module5_Feature_Selection_and_Model_Comparison_Workbook.xlsx | 7.4 KB |
| 40. Module5_Predictive_Modeling_for_Energy_DEEP_Handbook.pdf | 5.0 KB |
| 40. Module5_Predictive_Modeling_for_Energy_Quiz_with_Solutions.pdf | 3.7 KB |
| 40. practice_module5_predictive_modeling_energy_dataset.csv | 793.9 KB |
| 41. Building_Energy_Prediction_Business_Value_Calculator.xlsx | 6.4 KB |
| 41. Problem_Definition_Building_Energy_Prediction_Canvas_and_Case.pdf | 5.2 KB |
| 41. Why Predicting Building Energy (Description).html | 1.2 KB |
| 41. Why Predicting Building Energy.mp4 | 47.3 MB |
| 42. Feature Selection Strategy (Description).html | 2.1 KB |
| 42. Feature Selection Strategy.mp4 | 69.2 MB |
| 42. Feature_Inventory_Selection_Matrix_Slide4_Premium.xlsx | 7.0 KB |
| 42. Feature_Selection_Playbook_Buildings_Premium.pdf | 5.8 KB |
| 42. MiniLab_Slide4_Feature_Selection_Strategy_Premium.ipynb.bin | 3.0 KB |
| 43. Linear Regression Establishing The Baseline (Description).html | 1.8 KB |
| 43. Linear Regression Establishing The Baseline.mp4 | 61.5 MB |
| 43. Linear_Regression_Baseline_Handbook_Energy.pdf | 4.4 KB |
| 43. Linear_Regression_Baseline_Quiz_with_Solutions.pdf | 3.4 KB |
| 43. Linear_Regression_Coefficient_and_Assumptions_Workbook.xlsx | 6.7 KB |
| 43. MiniLab_Slide5_Linear_Regression_Baseline_Energy.ipynb.bin | 4.1 KB |
| 44. Coefficient_Interpretation_Physical_Meaning_Deep_Handout.pdf | 5.3 KB |
| 44. Coefficient_Interpretation_Quiz_with_Solutions.pdf | 3.7 KB |
| 44. Coefficient_Interpretation_Workbook_Premium.xlsx | 7.4 KB |
| 44. Interpreting Coefficiencts Physical Meaning (Description).html | 1.8 KB |
| 44. Interpreting Coefficiencts Physical Meaning.mp4 | 110.6 MB |
| 44. MiniLab_Slide6_Coefficient_Interpretation_Physical_Meaning.ipynb.bin | 4.3 KB |
| 44. practice_module5_predictive_modeling_energy_dataset.csv | 143.1 KB |
| 45. MiniLab_Slide7_Random_Forest_Energy.ipynb.bin | 5.2 KB |
| 45. Random Forest Capturing Non-Linear Patterns (Description).html | 1.9 KB |
| 45. Random Forest Capturing Non-Linear Patterns.mp4 | 100.4 MB |
| 45. Random_Forest_Energy_Prediction_Deep_Handbook.pdf | 4.2 KB |
| 45. Random_Forest_Energy_Quiz_with_Solutions.pdf | 3.7 KB |
| 45. Random_Forest_Tuning_and_Evaluation_Workbook.xlsx | 7.0 KB |
| 45. practice_random_forest_energy_dataset.csv | 241.9 KB |
| 46. Model Comparison RMSE and R² Metrics (Description).html | 1.8 KB |
| 46. Model Comparison RMSE and R² Metrics.mp4 | 79.1 MB |
| 46. Slide8_Evaluation_Dashboard.xlsx | 15.1 KB |
| 46. Slide8_Metrics_CheatSheet.pdf | 3.8 KB |
| 46. Slide8_MiniLab_Model_Comparison.ipynb.bin | 5.2 KB |
| 46. Slide8_Model_Comparison_Quiz_with_Solutions.pdf | 3.9 KB |
| 46. Slide8_Model_Selection_Decision_Guide.pdf | 3.1 KB |
| 46. Slide8_Practice_Model_Comparison_Dataset.csv | 62.4 KB |
| 46. Slide8_Python_Evaluation_Template.pdf | 3.8 KB |
| 47. Hands On Predective Modeling.mp4 | 70.4 MB |
| 48. Hands On Predictive Modeling Part 2.mp4 | 72.5 MB |
| 49. Hands On predictive Modeling Part 3.mp4 | 18.6 MB |
| 50. Hands On Predictive Modeling Part 4.mp4 | 76.0 MB |
| 51. Hands on Predictive Modeling Part 5.mp4 | 73.9 MB |
| 52. Hands On Predictive Modeling Part 6.mp4 | 73.1 MB |
| 53. Hands On Predictive Modeling Part 7.mp4 | 67.0 MB |
| 54. Hands On Predictive Modeling Part 8.mp4 | 128.7 MB |
| 55. Hands On Predictive Modeling Part9.mp4 | 28.0 MB |
| 56. Residual Analysis Diagnosing Model Performance (Description).html | 1.5 KB |
| 56. Residual Analysis Diagnosing Model Performance.mp4 | 72.6 MB |
| 56. Slide9_MiniLab_Residual_Analysis.ipynb.bin | 4.8 KB |
| 56. Slide9_Practice_Residual_Analysis_Dataset.csv | 117.1 KB |
| 56. Slide9_Residual_Analysis_Dashboard.xlsx | 17.5 KB |
| 56. Slide9_Residual_Analysis_Deep_Handbook.pdf | 4.8 KB |
| 56. Slide9_Residual_Analysis_Quiz_with_Solutions.pdf | 4.1 KB |
| 56. Slide9_Residual_Patterns_Cheat_Sheet.pdf | 3.1 KB |
| 57. Model Robustness Cross-Validation & Generalization (Description).html | 1.6 KB |
| 57. Model Robustness Cross-Validation & Generalization.mp4 | 90.2 MB |
| 57. Practice_Robustness_CV_Generalization_Dataset.csv | 9.2 MB |
| 57. Slide10_CV_Robustness_Cheat_Sheet.pdf | 2.6 KB |
| 57. Slide10_MiniLab_Robustness_CrossValidation.ipynb.bin | 7.1 KB |
| 57. Slide10_Model_Robustness_Deep_Handbook.pdf | 5.5 KB |
| 57. Slide10_Robustness_CV_Generalization_Dashboard.xlsx | 12.9 KB |
| 57. Slide10_Robustness_CV_Quiz_with_Solutions.pdf | 4.0 KB |
| 58. Key Takeaways & Implementation Roadmap.mp4 | 97.1 MB |
| 58. Slide11_Implementation_Roadmap_and_Deployment_Checklist (1).xlsx | 13.3 KB |
| 58. Slide11_Implementation_Roadmap_and_Deployment_Checklist.xlsx | 13.3 KB |
| 59. 1-MiniLab_Monitoring_Setup.ipynb.bin | 3.3 KB |
| 59. 1-Monitoring_Blueprint_KPI_Catalog_and_Runbooks.xlsx | 16.4 KB |
| 59. 1-Quiz1_with_Solutions.pdf | 3.9 KB |
| 59. 10_Complete_Key_Takeaways_Deep_Handbook.pdf | 3.4 KB |
| 59. 10_Final_Quiz_with_Solutions.pdf | 3.5 KB |
| 59. 10_Production_Readiness_Checklist.pdf | 2.8 KB |
| 59. 10_Summary_Capstone_Implementation_Planner.xlsx | 16.6 KB |
| 59. 1_Monitoring_Learning_Path_Deep_Handbook.pdf | 4.5 KB |
| 59. 1_Monitoring_Lifecycle_Cheat_Sheet.pdf | 2.9 KB |
| 59. 2_MiniLab_Streaming_Monitoring_Starter.ipynb.bin | 3.1 KB |
| 59. 2_Monitoring_Architecture_Planner.xlsx | 8.9 KB |
| 59. 2_Paradigm_Shift_Cheat_Sheet.pdf | 2.6 KB |
| 59. 2_Prediction_to_Monitoring_Deep_Handbook.pdf | 4.7 KB |
| 59. 2_Prediction_to_Monitoring_Quiz_with_Solutions.pdf | 3.8 KB |
| 59. 3_AE_Residuals_Cheat_Sheet.pdf | 2.9 KB |
| 59. 3_AE_Residuals_Functions.py | 1.7 KB |
| 59. 3_AE_Residuals_Quiz_with_Solutions.pdf | 3.9 KB |
| 59. 3_AE_Threshold_Planner_and_Alert_Budget.xlsx | 10.3 KB |
| 59. 3_Full_Dataset_AE_Residuals.csv | 79.6 KB |
| 59. 3_MiniLab_Autoencoder_Residual_Anomaly_Detection.ipynb.bin | 6.0 KB |
| 59. 3_Residual_Based_Anomaly_Detection_Deep_Handbook.pdf | 4.3 KB |
| 59. 3_Test_Mixed_AE_Residuals.csv | 31.9 KB |
| 59. 3_Train_Normal_AE_Residuals.csv | 46.3 KB |
| 59. 4_IsolationForest_Functions.py | 1.2 KB |
| 59. 4_IsolationForest_Pipeline_Practice_Dataset.csv | 3.1 MB |
| 59. 4_Isolation_Forest_Cheat_Sheet.pdf | 2.6 KB |
| 59. 4_Isolation_Forest_Deep_Handbook.pdf | 4.1 KB |
| 59. 4_Isolation_Forest_Quiz_with_Solutions.pdf | 3.6 KB |
| 59. 4_MiniLab_Isolation_Forest_Anomaly_Detection.ipynb.bin | 4.5 KB |
| 59. 5_Contamination_Selection_Deep_Handbook.pdf | 3.1 KB |
| 59. 5_Contamination_Tuning_Cheat_Sheet.pdf | 2.7 KB |
| 59. 5_Contamination_Tuning_Functions.py | 1.5 KB |
| 59. 5_Contamination_Tuning_Planner_and_Alert_Budget.xlsx | 14.9 KB |
| 59. 5_Contamination_Tuning_Quiz_with_Solutions.pdf | 3.5 KB |
| 59. 5_MiniLab_Contamination_Selection.ipynb.bin | 3.6 KB |
| 59. 5_MiniLab_SPC_Charts_and_Western_Electric_Rules.ipynb.bin | 5.2 KB |
| 59. 6_Drift_Detection_Cheat_Sheet.pdf | 2.6 KB |
| 59. 6_Drift_Detection_Deep_Handbook.pdf | 3.0 KB |
| 59. 6_Drift_Detection_Functions.py | 2.2 KB |
| 59. 6_Drift_Detection_Quiz_with_Solutions.pdf | 3.6 KB |
| 59. 6_Drift_RollingKPI_Practice_Dataset.csv | 219.5 KB |
| 59. 6_MiniLab_Drift_Detection_Rolling_KPIs.ipynb.bin | 6.2 KB |
| 59. 6_RollingKPI_Drift_Dashboard_and_Runbook.xlsx | 35.1 KB |
| 59. 7_Contamination_Tuning_Practice_Dataset.csv | 3.0 MB |
| 59. 7_SPC_Cheat_Sheet.pdf | 2.4 KB |
| 59. 7_SPC_Dashboard_Capability_and_Rule_Log.xlsx | 43.0 KB |
| 59. 7_SPC_Deep_Handbook.pdf | 3.5 KB |
| 59. 7_SPC_Functions_and_Western_Electric_Rules.py | 2.0 KB |
| 59. 7_SPC_Quiz_with_Solutions.pdf | 3.7 KB |
| 59. 7_SPC_Raw_TabletPress_Stream.csv | 1.5 MB |
| 59. 7_SPC_Rolling_KPI_Hourly.csv | 33.5 KB |
| 59. 7_SPC_Subgroup_XbarR_Table.csv | 81.4 KB |
| 59. 8_MiniLab_SHAP_Explainability_Energy.ipynb.bin | 4.5 KB |
| 59. 8_SHAP_Cheat_Sheet.pdf | 2.7 KB |
| 59. 8_SHAP_Deep_Handbook.pdf | 3.1 KB |
| 59. 8_SHAP_Operator_Templates_and_Governance.py | 1.4 KB |
| 59. 8_SHAP_Practice_Energy_Dataset.csv | 291.9 KB |
| 59. 8_SHAP_Quiz_with_Solutions.pdf | 3.7 KB |
| 59. 9_Anomaly_Operations_Runbook_and_WorkOrder_Templates.xlsx | 16.0 KB |
| 59. 9_MiniLab_Operational_Anomaly_Triage_and_Runbooks.ipynb.bin | 3.7 KB |
| 59. 9_Operationalizing_Anomalies_Cheat_Sheet.pdf | 2.9 KB |
| 59. 9_Operationalizing_Anomalies_Deep_Handbook.pdf | 3.3 KB |
| 59. 9_Operationalizing_Anomalies_Practice_Alerts.csv | 797.8 KB |
| 59. 9_Operationalizing_Anomalies_Quiz_with_Solutions.pdf | 3.6 KB |
| 59. Advanced Monitoring Techniques in Industrial AI (Description).html | 9.4 KB |
| 59. Advanced Monitoring Techniques in Industrial AI.mp4 | 238.9 MB |
| Bonus Resources.txt | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
-
939.5 MB
[39
/
0]
2025-04-03
| Uploaded by freecoursewb | Size 939.5 MB | Health [ 39 /0 ] | Added 2025-04-03 |
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904.9 MB
[17
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7]
2025-03-06
| Uploaded by freecoursewb | Size 904.9 MB | Health [ 17 /7 ] | Added 2025-03-06 |
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383.6 MB
[26
/
2]
2025-02-22
| Uploaded by Prom3th3uS | Size 383.6 MB | Health [ 26 /2 ] | Added 2025-02-22 |
NOTE
SOURCE: Udemy AI for Energy Efficiency
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