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  • U: Anonymous
  • D: 2022-06-04 23:20:38
  • C: Unknown
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44,565
Stored files
2,248 F71EC877
2,295 594C9AFA
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Archived files
1. Getting Started\1. Promo Video (Introduction).mp4 [b802eee486600ef2] 29,279,450 04E08DDD
1. Getting Started\1. Promo Video (Introduction).mp4.jpg 187,774 42C95E6F
1. Getting Started\1. Promo Video (Introduction).srt 3,280 E14362F8
2. Coding Environments\1. 02 Setting up the Coding Environment - 1.mp4 [558c6b06ee787b9b] 179,670,156 0231F1AA
2. Coding Environments\1. 02 Setting up the Coding Environment - 1.srt 23,454 C494D7D3
2. Coding Environments\1.1 01 Setting up the Coding Environment - Part 1.pptx 1,085,909 3572BA8B
2. Coding Environments\2. 02 Setting up the Coding Environment - 2.mp4 [8c3d0287ac8545bc] 73,503,485 73C546AB
2. Coding Environments\2. 02 Setting up the Coding Environment - 2.srt 11,609 2B05799C
2. Coding Environments\2.1 02 Setting up the Coding Environment - Part 2.pptx 1,085,909 3572BA8B
3. Python Crash Course\1. 01 Python Crash Course - Overview.mp4 [7433f528bb845c15] 26,814,614 33EBE863
3. Python Crash Course\1. 01 Python Crash Course - Overview.srt 3,095 D8D7BA9E
3. Python Crash Course\1.1 01 Python Crash Course - Overview.pptx 2,623,601 D0C75B70
3. Python Crash Course\2. 03 Python Comments.mp4 [a211aa3d3c48e6ef] 54,824,291 279429C6
3. Python Crash Course\2. 03 Python Comments.srt 7,888 C689D2BC
3. Python Crash Course\2.1 02 Python Comments.pptx 2,280,295 FC0F106C
3. Python Crash Course\3. 03 Python Variables.mp4 [f8746359eb20ada7] 99,504,989 01343321
3. Python Crash Course\3. 03 Python Variables.srt 11,991 D3B2AE3A
3. Python Crash Course\3.1 03 Python Variables.pptx 2,272,460 3CFB7C82
3. Python Crash Course\4. 04 Python Functions and Methods.mp4 [37d9347ed85e1986] 87,394,859 CDA2C7A5
3. Python Crash Course\4. 04 Python Functions and Methods.srt 8,362 A91BC80E
3. Python Crash Course\4.1 04 Python Functions and Methods.pptx 5,329,454 D41BF2E2
3. Python Crash Course\5. 05 Data types in Python.mp4 [478fad0dff3c12e6] 72,425,763 953ACCBF
3. Python Crash Course\5. 05 Data types in Python.srt 7,819 553F8CB8
3. Python Crash Course\5.1 05 Data types in Python.pptx 2,293,281 89261D6B
3. Python Crash Course\6. 06 Pandas DataFrame.mp4 [5808648d5662f51] 32,675,561 D436E303
3. Python Crash Course\6. 06 Pandas DataFrame.srt 3,790 12BB5765
3. Python Crash Course\6.1 06 Pandas DataFrame.pptx 2,363,306 64849D31
3. Python Crash Course\7. 07 CSV Data Files Format.mp4 [88809e3ac449b52d] 40,708,119 0FC29DC5
3. Python Crash Course\7. 07 CSV Data Files Format.srt 4,423 DCD8504F
3. Python Crash Course\7.1 07 CSV Data Files Format.pptx 2,247,784 6959CC92
3. Python Crash Course\8. 08 Python Libraries.mp4 [bbf09f07b24b28a] 91,563,545 630A4D9D
3. Python Crash Course\8. 08 Python Libraries.srt 12,336 FCCE22CF
3. Python Crash Course\8.1 08 Python Libraries.pptx 2,246,567 4029A01C
4. 04 Machine Learning\1. 01 Machine Learning - Introduction.mp4 [4e3c8c7f542f8e11] 106,212,891 2ABE416C
4. 04 Machine Learning\1. 01 Machine Learning - Introduction.srt 11,656 5BF8DDAA
4. 04 Machine Learning\1.1 01 Machine Learning - Introduction.pptx 3,878,320 DC1D8FAA
4. 04 Machine Learning\2. 02 Machine Learning for Crypto Trading.mp4 [6f0b45a3cd273ec1] 28,700,855 F9174E09
4. 04 Machine Learning\2. 02 Machine Learning for Crypto Trading.srt 3,230 03646A40
4. 04 Machine Learning\2.1 02 Machine Learning for Crypto Trading.pptx 2,515,796 EB416327
4. 04 Machine Learning\3. 03 Machine Learning Algorithms 101.mp4 [b16fa6f379d75b8f] 35,803,166 EA83114B
4. 04 Machine Learning\3. 03 Machine Learning Algorithms 101.srt 3,932 8E5F3351
4. 04 Machine Learning\3.1 03 Machine Learning Algorithms 101.pptx 2,671,302 26A1871D
4. 04 Machine Learning\4. 04 Machine Learning Models 101.mp4 [d49c2d24e26326aa] 25,809,415 C923D0A7
4. 04 Machine Learning\4. 04 Machine Learning Models 101.srt 2,678 C56BF325
4. 04 Machine Learning\4.1 04 Machine Learning Models 101.pptx 2,541,935 574AD857
4. 04 Machine Learning\5. 05 ML Algorithms vs ML Models - The Difference.mp4 [67572554e3de65a8] 55,346,824 5B75561C
4. 04 Machine Learning\5. 05 ML Algorithms vs ML Models - The Difference.srt 5,553 0D2AFA33
4. 04 Machine Learning\5.1 05 ML Algorithms vs ML Models - The Difference.pptx 2,390,681 121D2927
4. 04 Machine Learning\6. 06 Regression vs Classification.mp4 [4751611c2ecf793c] 70,238,122 981FAD6A
4. 04 Machine Learning\6. 06 Regression vs Classification.srt 7,223 944E6BFF
4. 04 Machine Learning\6.1 06 Regression vs Classification.pptx 2,525,301 F8B02C46
5. 05 Cryptocurrency Data Preprocessing & Analysis\1. 01 Candlestick OHLC.mp4 [8f88e282e4b89735] 70,158,680 29576754
5. 05 Cryptocurrency Data Preprocessing & Analysis\1. 01 Candlestick OHLC.srt 8,058 74AC3485
5. 05 Cryptocurrency Data Preprocessing & Analysis\1.1 01 Candlestick OHLC.pptx 2,275,834 465B5B3B
5. 05 Cryptocurrency Data Preprocessing & Analysis\2. 02 Obtaining Crypto data Using yFinance.mp4 [808073c28c91f7fb] 211,478,736 61FC6A00
5. 05 Cryptocurrency Data Preprocessing & Analysis\2. 02 Obtaining Crypto data Using yFinance.srt 29,952 6B9787BA
5. 05 Cryptocurrency Data Preprocessing & Analysis\2.1 02 Obtaining Crypto Data Using yFinance.ipynb 11,461 897DB75E
5. 05 Cryptocurrency Data Preprocessing & Analysis\2.2 02 Obtaining Crypto Data Using yFinance.pptx 2,325,868 E9A44BE1
5. 05 Cryptocurrency Data Preprocessing & Analysis\2.3 Crypto_Port.csv 519,779 2C99AA1C
5. 05 Cryptocurrency Data Preprocessing & Analysis\3. 03 Data Inspection and visualization.mp4 [4c43fbfb603cd1cf] 306,166,419 747DC560
5. 05 Cryptocurrency Data Preprocessing & Analysis\3. 03 Data Inspection and visualization.srt 37,799 450F8526
5. 05 Cryptocurrency Data Preprocessing & Analysis\3.1 03 Data Inspection and Visualization.ipynb 4,737 05B9342E
5. 05 Cryptocurrency Data Preprocessing & Analysis\3.2 03 Data Inspection and Visualization.pptx 2,315,192 898CBF8A
5. 05 Cryptocurrency Data Preprocessing & Analysis\3.3 Crypto_Port.csv 530,246 E6BE705F
5. 05 Cryptocurrency Data Preprocessing & Analysis\3.4 CryptoClose.csv 96,984 5DC349E3
5. 05 Cryptocurrency Data Preprocessing & Analysis\4. 04 Measuring Cryptocurrency Performance.mp4 [68747772a265f7d3] 258,627,897 9284AEF5
5. 05 Cryptocurrency Data Preprocessing & Analysis\4. 04 Measuring Cryptocurrency Performance.srt 40,207 387E8631
5. 05 Cryptocurrency Data Preprocessing & Analysis\4.1 04 Crypto Performance Evaluation.pptx 2,301,475 E0281734
5. 05 Cryptocurrency Data Preprocessing & Analysis\4.2 04 Measuring Cryptocurrency Performance.ipynb 42,018 DD70138D
5. 05 Cryptocurrency Data Preprocessing & Analysis\4.3 CryptoClose.csv 107,171 AC740BD0
5. 05 Cryptocurrency Data Preprocessing & Analysis\5. 05 Calculating Returns from Historical Data.mp4 [2b006e35978ecd7] 176,908,233 2726A344
5. 05 Cryptocurrency Data Preprocessing & Analysis\5. 05 Calculating Returns from Historical Data.srt 25,327 80B2DBD9
5. 05 Cryptocurrency Data Preprocessing & Analysis\5.1 05 Calculating Returns from Historical Data.ipynb 38,601 922D41C7
5. 05 Cryptocurrency Data Preprocessing & Analysis\5.2 05 Calculating Returns from Historical Data.pptx 2,362,587 2D4F6E36
5. 05 Cryptocurrency Data Preprocessing & Analysis\5.3 CryptoClose.csv 96,978 37D26A46
5. 05 Cryptocurrency Data Preprocessing & Analysis\6. 05 Calculating Returns from Historical Data.mp4 [9760106dbf054ae] 176,904,052 6400457E
5. 05 Cryptocurrency Data Preprocessing & Analysis\6. 05 Calculating Returns from Historical Data.srt 25,327 80B2DBD9
5. 05 Cryptocurrency Data Preprocessing & Analysis\6.1 05 Calculating Returns from Historical Data.ipynb 38,601 922D41C7
5. 05 Cryptocurrency Data Preprocessing & Analysis\6.2 05 Calculating Returns from Historical Data.pptx 2,362,587 2D4F6E36
5. 05 Cryptocurrency Data Preprocessing & Analysis\6.3 CryptoClose.csv 96,978 37D26A46
5. 05 Cryptocurrency Data Preprocessing & Analysis\7. 06 Regularization or Normalization of Data.mp4 [fba53f68dc07e8d5] 116,415,989 127DA42F
5. 05 Cryptocurrency Data Preprocessing & Analysis\7. 06 Regularization or Normalization of Data.srt 13,735 AAE0B946
5. 05 Cryptocurrency Data Preprocessing & Analysis\7.1 06 Regularization or Normalization of Data.ipynb 188,139 AE59FDFB
5. 05 Cryptocurrency Data Preprocessing & Analysis\7.2 06 Regularization or Normalization of Data.pptx 2,289,513 F6D5460B
5. 05 Cryptocurrency Data Preprocessing & Analysis\7.3 CryptoClose.csv 96,931 B283889F
5. 05 Cryptocurrency Data Preprocessing & Analysis\8. 07 Covariance and Correlation.mp4 [280541b4332a4e11] 98,947,479 366C80BE
5. 05 Cryptocurrency Data Preprocessing & Analysis\8. 07 Covariance and Correlation.srt 16,115 AB85CBF1
5. 05 Cryptocurrency Data Preprocessing & Analysis\8.1 07 Covariance and Correlation.ipynb 307,768 67F82A30
5. 05 Cryptocurrency Data Preprocessing & Analysis\8.2 07 Covariance and Correlation.pptx 2,354,455 8FC3B9C9
5. 05 Cryptocurrency Data Preprocessing & Analysis\8.3 CryptoClose.csv 72,752 92B4CFB2
6. 06 Performance Evaluation of Cryptocurrencies\1. 01 Performance Evaluation (Risk-Return).mp4 [3480396780ea310d] 132,569,977 2AD017B5
6. 06 Performance Evaluation of Cryptocurrencies\1. 01 Performance Evaluation (Risk-Return).srt 18,027 ED2F5CBC
6. 06 Performance Evaluation of Cryptocurrencies\1.1 01 Performance Evaluation (Risk-Return).ipynb 148,020 B1557714
6. 06 Performance Evaluation of Cryptocurrencies\1.2 01 Performance Evaluation (Risk-Return).pptx 2,489,071 1AE8B904
6. 06 Performance Evaluation of Cryptocurrencies\1.3 CryptoClose.csv 72,752 92B4CFB2
6. 06 Performance Evaluation of Cryptocurrencies\2. 02 ETHUSD Data Download.mp4 [807659fde2e0c70b] 50,295,771 56A69FB2
6. 06 Performance Evaluation of Cryptocurrencies\2. 02 ETHUSD Data Download.srt 7,247 6E5E61D5
6. 06 Performance Evaluation of Cryptocurrencies\2.1 02 ETHUSD Data Download.ipynb 13,952 82A278E5
6. 06 Performance Evaluation of Cryptocurrencies\2.2 02 ETHUSD Data Download.pptx 2,286,024 7292DC59
6. 06 Performance Evaluation of Cryptocurrencies\2.3 ETHUSD.csv 108,704 E9E222FB
7. 07 Predicting Crypto Prices with Machine Learning\1. 01 Simple Linear Regression.mp4 [541aa0584fbd54f6] 34,711,065 AD4F9690
7. 07 Predicting Crypto Prices with Machine Learning\1. 01 Simple Linear Regression.srt 3,438 EE51E67E
7. 07 Predicting Crypto Prices with Machine Learning\1.1 01 Simple Linear Regression.pptx 2,058,117 613DD418
7. 07 Predicting Crypto Prices with Machine Learning\2. 02 Predicting Crypto Prices - Simple Linear Regression.mp4 [5064adbef6abef3c] 270,451,135 5E8FE9A1
7. 07 Predicting Crypto Prices with Machine Learning\2. 02 Predicting Crypto Prices - Simple Linear Regression.srt 38,929 15744B3A
7. 07 Predicting Crypto Prices with Machine Learning\2.1 02 Predicting Crypto Prices - Simple Linear Regression.ipynb 6,289 CE7AABDD
7. 07 Predicting Crypto Prices with Machine Learning\2.2 02 Predicting Crypto Prices - Simple Linear Regression.pptx 2,321,298 39F818AC
7. 07 Predicting Crypto Prices with Machine Learning\2.3 ETHUSD.csv 118,944 A01B0541
7. 07 Predicting Crypto Prices with Machine Learning\3. 03 Support Vector Machine (SVM).mp4 [d364a3f71ed5e2a4] 145,708,117 342F8BCB
7. 07 Predicting Crypto Prices with Machine Learning\3. 03 Support Vector Machine (SVM).srt 18,614 5DDA8CAF
7. 07 Predicting Crypto Prices with Machine Learning\3.1 03 Support Vector Machine (SVM).pptx 2,784,051 6DBAB293
7. 07 Predicting Crypto Prices with Machine Learning\4. 04 Predicting Crypto Prices - SVM.mp4 [d4bafaa9f882cc5c] 234,993,476 1ECCA0B6
7. 07 Predicting Crypto Prices with Machine Learning\4. 04 Predicting Crypto Prices - SVM.srt 33,934 D176E021
7. 07 Predicting Crypto Prices with Machine Learning\4.1 04 Predicting Crypto Prices - SVM.ipynb 160,115 39E9CF58
7. 07 Predicting Crypto Prices with Machine Learning\4.2 04 Predicting Crypto Prices - SVM.pptx 2,344,770 E9DF6BD7
7. 07 Predicting Crypto Prices with Machine Learning\4.3 ETHUSD.csv 108,704 E9E222FB
7. 07 Predicting Crypto Prices with Machine Learning\5. 05 XGBoost.mp4 [ccc09cb62362320f] 17,562,688 664D73D6
7. 07 Predicting Crypto Prices with Machine Learning\5. 05 XGBoost.srt 1,664 77C396A2
7. 07 Predicting Crypto Prices with Machine Learning\5.1 05 XGBoost.pptx 2,357,589 3DD196DA
7. 07 Predicting Crypto Prices with Machine Learning\6. 06 Predicting Crypto Prices - XGBoost.mp4 [b79c2d7f4589a4b9] 99,053,301 7E78526C
7. 07 Predicting Crypto Prices with Machine Learning\6. 06 Predicting Crypto Prices - XGBoost.srt 14,712 7928B845
7. 07 Predicting Crypto Prices with Machine Learning\6.1 06 Predicting Crypto Prices - XGBoost.ipynb 86,660 F558AD85
7. 07 Predicting Crypto Prices with Machine Learning\6.2 06 Predicting Crypto Prices - XGBoost.pptx 2,291,084 69CEEED9
7. 07 Predicting Crypto Prices with Machine Learning\6.3 ETHUSD.csv 108,704 E9E222FB
8. 08 ML Model Evaluation\1. 01 Residual Error.mp4 [ee71b072f49e31a8] 53,804,991 CCD6B377
8. 08 ML Model Evaluation\1. 01 Residual Error.srt 6,898 E2D3C962
8. 08 ML Model Evaluation\1.1 02 Residual Error.pptx 2,294,606 A05C8364
8. 08 ML Model Evaluation\2. 02 R Squred Error Intuition.mp4 [e9ac16677fab6453] 117,270,214 7F879B96
8. 08 ML Model Evaluation\2. 02 R Squred Error Intuition.srt 13,176 05D85436
8. 08 ML Model Evaluation\2.1 03 R Squared Error Intuition.pptx 2,558,568 120C0397
8. 08 ML Model Evaluation\3. 03 R Squared Error Implementation.mp4 [42bae63cf9d87b0e] 25,019,325 9E06DB67
8. 08 ML Model Evaluation\3. 03 R Squared Error Implementation.srt 4,006 C6486E9C
8. 08 ML Model Evaluation\3.1 03 R Squared Error Implementation.pptx 2,141,471 CF816EFB
8. 08 ML Model Evaluation\3.2 03 R Squared Error.ipynb 1,585 9D5C457C
9. 09 ML Model Deployment\1. 09 ML Model Deployment.mp4 [2e6dd000639ff37a] 307,253,205 88B946FA
9. 09 ML Model Deployment\1. 09 ML Model Deployment.srt 44,387 A2609233
9. 09 ML Model Deployment\1.1 09 ML Model Deployment.pptx 2,311,517 A1581721
9. 09 ML Model Deployment\1.2 09 ML Model Deployment.rar 134,378 7D8F084C
1. Getting Started 0 00000000
2. Coding Environments 0 00000000
3. Python Crash Course 0 00000000
4. 04 Machine Learning 0 00000000
5. 05 Cryptocurrency Data Preprocessing & Analysis 0 00000000
6. 06 Performance Evaluation of Cryptocurrencies 0 00000000
7. 07 Predicting Crypto Prices with Machine Learning 0 00000000
8. 08 ML Model Evaluation 0 00000000
9. 09 ML Model Deployment 0 00000000
Total size: 4,105,994,029
RAR Recovery
Present (Protect+) 122,870,558
Labels UNKNOWN
RSS | IRC | API | Wiki | Help | Contact | srrDB © 2011-2024 (1668)
Execution time: 0.0206 - Memory usage: 0.85MB
Design and development: srrDB Team
srrDB is an historical record of the warez scene. We do not offer illegal downloads nor links to these works. All meta data gets added by our awesome users. Photographs or pictures can be part of these historical records, deemed fair use (news reporting and research) and are only a part of the complete work, but copyrights are owned by their respective creators or right holders.