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ReScene version pyReScene Auto 0.7 LBWx File size CRC
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163 92E426CF
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Total size: 4,383,677,854
Archived files
Chapter_5-Exploratory_Data_Analysis\25. What is EDA.mp4 [6305eac8619f4e23] 28,444,766 C5487BA7
Chapter_5-Exploratory_Data_Analysis\26. What is Visualization.mp4 [cfc785cb4c1261c8] 32,002,708 B89575A3
Chapter_5-Exploratory_Data_Analysis\27. Data Sourcing.mp4 [69ac59bfa895ec60] 30,197,520 7E0984D5
Chapter_5-Exploratory_Data_Analysis\28. Data Cleaning.mp4 [4a7ba6ce63789f5b] 31,921,236 8F6BD74A
Chapter_5-Exploratory_Data_Analysis\29. Handling Missing Values (Theory).mp4 [c85a8b653e08203e] 61,383,399 598E4584
Chapter_5-Exploratory_Data_Analysis\30. Handling Missing Values (Practicals).mp4 [e73a901d4ea168b] 96,567,911 81F1E2FD
Chapter_5-Exploratory_Data_Analysis\31. Outlier Treatment.mp4 [29b58ff82676aba4] 62,693,054 2C85C5C0
Chapter_5-Exploratory_Data_Analysis\32. Outlier Treatment (Practicals).mp4 [7cd689d0b95c764e] 107,826,051 B91C49EA
Chapter_5-Exploratory_Data_Analysis\33. Types of Analysis.mp4 [8da25b9aaac3564b] 12,615,256 E64A4524
Chapter_5-Exploratory_Data_Analysis\34. Univariate Analysis.mp4 [1b56d9525e71ef4c] 56,730,791 2F31F56F
Chapter_5-Exploratory_Data_Analysis\35. Bivariate Analysis.mp4 [4c1e29e57df161e9] 37,397,445 C506CE3A
Chapter_5-Exploratory_Data_Analysis\36. Multivariate Analysis.mp4 [5802bb505ec446aa] 5,487,678 475C2993
Chapter_5-Exploratory_Data_Analysis\37. Numerical Analysis.mp4 [78b521ae3bea076b] 20,353,428 A54E4B08
Chapter_5-Exploratory_Data_Analysis\38. Analysis (Practicals).mp4 [7c247b08f934a443] 221,847,298 7E0C5DE7
Chapter_5-Exploratory_Data_Analysis\39. Derived Metrics.mp4 [954772a66db69f22] 27,805,109 2D9FEE0F
Chapter_5-Exploratory_Data_Analysis\40. Feature Binning (Theory).mp4 [18db5558bcbc96e4] 46,270,624 40C28546
Chapter_5-Exploratory_Data_Analysis\41. Feature Binning (Practicals).mp4 [d5a6ecc0aacaad9b] 74,453,781 5F99D752
Chapter_5-Exploratory_Data_Analysis\42. Feature Encoding (Theory).mp4 [7360be1e10066ef7] 87,816,748 C381AB37
Chapter_5-Exploratory_Data_Analysis\43. Feature Encoding (Practicals).mp4 [baaaee288fa6b404] 82,684,181 B269747F
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\44. Algorithms.mp4 [afccca86990e6402] 6,072,766 A07472E2
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\45. ARIMA [part 1].mp4 [243611b8dc2d44f6] 11,902,321 0F40F4A3
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\46. ARIMA [part 2].mp4 [e337d4efe52f4e58] 33,664,310 3C0103B8
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\47. Auto Regressive Theory.mp4 [768211b3e9a6d79f] 43,691,911 5E486983
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\48. Moving average Theory.mp4 [6a8442d5a100572d] 48,228,483 F4E463B9
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\49. Auto-Correlation Function (ACF) &Partical Auto-Correlation Function (PACF).mp4 [4bf0dd532a79214f] 47,558,037 9022FF0B
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\50. Find PDQ.mp4 [6a2e1124a1aad3ca] 12,453,447 C5408BD7
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\51. ARIMA [practicals 1].mp4 [f1ec874631003ade] 95,313,073 2AE6B03C
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\52. ARIMA [practicals 2].mp4 [a0a7184e54615c58] 89,920,800 51A73F75
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\53. Implementation of ARIMA.mp4 [6cdfa465a84834e3] 74,170,182 705019B2
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\54. Decompostion.mp4 [3cd940545b38ba20] 33,349,741 AD424187
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\55. Auto Correlation vs Partical Auto Correlation.mp4 [6ad16a5cf5ba610] 22,596,072 FDEA6FD2
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\56. Choosing the best transformation.mp4 [648a8834e33d3873] 75,802,823 386EAF5A
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\57. Grid Search [part 1].mp4 [6533ea87bed9803] 94,566,200 D76F2AA3
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\58. Grid Search [part 2].mp4 [7f136129003f10e2] 17,716,623 3CD863D9
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\59. Final Model.mp4 [8ae1acc4af19722b] 87,727,919 34EC2557
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\60. FBProphet [part 1].mp4 [b1096e9a6836169b] 54,555,144 D77CCE8B
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\61. FBProphet [part 2].mp4 [b26d92c6b4b0142f] 88,739,192 6E477AEA
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview\62. FBProphet [part 3].mp4 [5df665a21922cdbf] 54,478,396 E3B42E9A
Chapter_7-Multivariate_Time_Series_Forecasting_Methods\63. Multi Variate TS Analysis.mp4 [1a5ebf5304c66b] 44,625,062 AEE06BDC
Chapter_7-Multivariate_Time_Series_Forecasting_Methods\64. FB Prophet Uni & Multi Variate.mp4 [4eb9cd5447c5689e] 124,000,067 A08F8C3D
Chapter_8-Evaluating_Forecasting_Performance\65. Introduction.mp4 [f54594c2a3050a11] 31,461,834 55B42CA4
Chapter_8-Evaluating_Forecasting_Performance\66. Forecasting Evaluation Metrics.mp4 [ce8287caf40098c] 7,046,758 C1623B7A
Chapter_8-Evaluating_Forecasting_Performance\67. Mean Squarred Error.mp4 [23f2eeca98d90a28] 7,379,650 BA334C9B
Chapter_8-Evaluating_Forecasting_Performance\68. Root Mean Sqaured Error.mp4 [b96d877a5160104] 7,444,531 E5A7B242
Chapter_8-Evaluating_Forecasting_Performance\69. Mean Absolute Percentage Error.mp4 [4c84d83e55134a6e] 17,099,643 96AAFB7B
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\70. Project 1 - Energy Demand Forecasting [part 1].mp4 [65c3f86775e8ca50] 26,808,341 6CA8D9FE
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\71. Project 1 - Energy Demand Forecasting [part 2].mp4 [1002e38968e08f28] 55,886,908 85FD1E5D
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\72. Project 1 - Energy Demand Forecasting [part 3].mp4 [46745e8948ce7912] 81,431,761 B684DCC3
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\73. Project 2 - Stock Market Prediction [part 1].mp4 [9266dc6617f10767] 32,128,130 C83CB3AB
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\74. Project 2 - Stock Market Prediction [part 2].mp4 [947d5957c9416958] 39,487,057 BCEA798F
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\75. Project 2 - Stock Market Prediction [part 3].mp4 [3eab2acde8725e38] 159,996,830 981A4548
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\76. Project 3 - Demand Forecasting [part 1].mp4 [aef92c39e74651ba] 25,241,065 5B6AE2EC
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\77. Project 3 - Demand Forecasting [part 2].mp4 [4829ac15155555ba] 118,961,791 6D8C85BF
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\78. Project 3 - Demand Forecasting [part 3].mp4 [add09a3ee86ecb8f] 98,800,198 12A29E3B
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\79. Project 3 - Demand Forecasting [part 4].mp4 [92068caca78dcb93] 11,358,654 392F087C
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\80. Project 3 - Demand Forecasting [part 5].mp4 [b167034f25c53b4f] 147,922,929 14DBBD65
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies\81. Project 3 - Demand Forecasting [part 6].mp4 [4bce782d7a420419] 83,705,132 5FEAC7DC
Chapter_2-Introduction_to_Time_Series_Forecasting\2. What is Time Series.mp4 [5f09d72136ddf54d] 24,406,984 C9081A6E
Chapter_2-Introduction_to_Time_Series_Forecasting\3. Time Series vs Regression.mp4 [5174785060a9671f] 80,855,417 4107B82A
Chapter_2-Introduction_to_Time_Series_Forecasting\4. What is Time Series Analysis.mp4 [129c38770f1da28] 15,286,566 AF1AD549
Chapter_3-Understanding_Time_Series_Data\10. Time Series Stationarity.mp4 [2070e027784687a1] 29,921,645 47D65BB7
Chapter_3-Understanding_Time_Series_Data\11. Testing Time Series Staionarity.mp4 [518a219903037ab4] 45,701,287 02FF8F68
Chapter_3-Understanding_Time_Series_Data\12. Transformation.mp4 [6d3ce5e28141d998] 22,453,569 A7949213
Chapter_3-Understanding_Time_Series_Data\5. What is Anomaly Detection.mp4 [454c2fcc5de8ac3a] 31,338,931 7367965A
Chapter_3-Understanding_Time_Series_Data\6. Components of Time Series.mp4 [bc579c983737eb6a] 48,589,940 7D0A6344
Chapter_3-Understanding_Time_Series_Data\7. Time Series Decomposition.mp4 [f07781cc59d1ff21] 6,798,180 B1B4A92F
Chapter_3-Understanding_Time_Series_Data\8. Implementation of Decomposition.mp4 [e742a902fa65edd] 48,774,020 0BCC4138
Chapter_3-Understanding_Time_Series_Data\9. Additive and Multiplicative Decompostion.mp4 [32f178ca107f0a55] 40,882,497 6D14092C
Chapter_4-Preprocessing_and_Data_Cleaning\13. Introduction to Pre-Processing.mp4 [8fba8c86da06e664] 18,660,834 1D9B766C
Chapter_4-Preprocessing_and_Data_Cleaning\14. Handle Missing Value.mp4 [47d49a4f019ad81f] 61,435,470 7E2833E7
Chapter_4-Preprocessing_and_Data_Cleaning\15. Implementation of Handle Missing value in Python.mp4 [f5bcfbf4be25bcc2] 96,583,342 BE2E28DE
Chapter_4-Preprocessing_and_Data_Cleaning\16. Outlier Treatment.mp4 [716f6990284545c6] 62,684,162 793EA21F
Chapter_4-Preprocessing_and_Data_Cleaning\17. Sigma Technique (Standard Deviation).mp4 [932a9975e5754f7e] 107,772,064 B6C78A32
Chapter_4-Preprocessing_and_Data_Cleaning\18. Feature Scaling.mp4 [791e6bac24d3ae1c] 77,823,667 A2DCF053
Chapter_4-Preprocessing_and_Data_Cleaning\19. Feature Scaling Technique (Standardization).mp4 [aebfc3c66f308f69] 23,756,805 1220AC80
Chapter_4-Preprocessing_and_Data_Cleaning\20. Feature Scaling Technique (Normalization).mp4 [3a1790f0246d31de] 14,625,225 E5571EDC
Chapter_4-Preprocessing_and_Data_Cleaning\21. Implementation of Feature Scaling.mp4 [87d51d52a9e92166] 117,008,532 6A94EE62
Chapter_4-Preprocessing_and_Data_Cleaning\22. Feature Encoding.mp4 [d1b2d17ab4ababcf] 87,808,020 98539EA2
Chapter_4-Preprocessing_and_Data_Cleaning\23. Implementation of Feature Encoding.mp4 [c774671200d83207] 82,693,404 47D95927
Chapter_5-Exploratory_Data_Analysis 0 00000000
Chapter_6-Time_Series_Forecasting_Models_A_Comprehensive_Overview 0 00000000
Chapter_7-Multivariate_Time_Series_Forecasting_Methods 0 00000000
Chapter_8-Evaluating_Forecasting_Performance 0 00000000
Chapter_9-Time_Series_Forecasting_in_Practice_Case_Studies 0 00000000
Chapter_2-Introduction_to_Time_Series_Forecasting 0 00000000
Chapter_3-Understanding_Time_Series_Data 0 00000000
Chapter_4-Preprocessing_and_Data_Cleaning 0 00000000

Total size: 4,383,653,326
RAR Recovery
Not Present
Labels UNKNOWN