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Udemy AI for Energy Efficiency

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Files:

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?43858?v=1.05 530.8 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?43858?v=1.05 94.4 KB
2. Slide3.png?43858?v=1.05 109.8 KB
2. Slide4.png?43858?v=1.05 139.2 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?43858?v=1.05 92.4 KB
4. Slide6.png?43858?v=1.05 114.4 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?43858?v=1.05 214.4 KB
5. Slide7.png?43858?v=1.05 123.5 KB
5. Slide8.png?43858?v=1.05 129.7 KB
5. Slide9.png?43858?v=1.05 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?43858?v=1.05 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?43858?v=1.05 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?43858?v=1.05 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

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