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pkmn-build-machine-v-2.7z_meta.xml 739 Bytes

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【压缩文件】 Investment Management with Python and Machine Learning Specialization

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[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/machine-learning-asset-management-alternative-data/05_Resources/01_python-notebooks/01__mooc_4_Jul22.zip 562.0 MB
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[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/02_machine-learning-techniques-for-robust-estimation-of-factor-models/02_section-2-robust-estimation-of-factor-models-with-machine-learning-techniques/05_lab-session-jupiter-notebook-on-factor-models.mp4 95.7 MB
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[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/02_section-2/04_module-1-lab-session-foundations.mp4 88.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/01_section-1/05_introduction-to-factor-investing.mp4 87.4 MB
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[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/01_introducing-the-fundamentals-of-machine-learning/02_section-2-review-of-unsupervised-learning/07_lab-session-optimal-portfolio.mp4 79.1 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/04_lab-session-naive-risk-budgeting-between-the-psp-ghp.mp4 79.0 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/05_identifying-recessions-crash-regimes-and-feature-selection/02_section-2-predicting-credit-contractions-and-crash-regimes/04_lab-session-5-regime-prediction-with-machine-learning.mp4 78.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/01_choosing-the-policy-portfolio.mp4 75.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/05_liability-hedging-portfolios.mp4 74.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/06_lab-session-dynamic-risk-budgeting-between-psp-lhp.mp4 74.5 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/02_section-2/02_from-cap-weighted-benchmarks-to-smart-weighted-benchmarks.mp4 73.2 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/06_fundamentals-of-returns.mp4 71.4 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/02_section-2/01_shortcomings-of-cap-weighted-indices.mp4 66.1 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/10_measuring-max-drawdown.mp4 63.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/01_section-1-introduction-to-optimization-and-the-efficient-frontier/07_lab-session-applying-quadprog-to-draw-the-efficient-frontier.mp4 63.5 MB

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【压缩文件】 Depeche Mode - Delta Machine

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【压缩文件】 Windows 11 Pro 10.0.22000.318 + Office 2021 Virtual Machine (VMware)

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Windows 11 Pro 10.0.22000.318 with Office 2021.7z 7.3 GB
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【压缩文件】 PC-BSD Joule + Virtual machine 10.1.2

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PCBSD10.1.2-05-22-2015-x64-DVD-USB.iso 4.3 GB
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【压缩文件】 5 Courses - Master AWS, Analytics, Machine Learning, Bigdata

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5 Courses - Master AWS, Analytics, Machine Learning, Bigdata.zip 7.2 GB
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【压缩文件】 [FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip

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[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 7.2 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning Practical Workout - 8 Real-World Projects.zip

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【压缩文件】 Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio

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【压缩文件】 Dan Kennedy - The Ultimate Lead Generation Machine

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Dan.Kennedy..The.Ultimate.Lead.Generation.Machine.rar 7.1 GB
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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects

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01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 616.8 MB
05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 217.5 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 190.8 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 177.5 MB
03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 175.1 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 164.7 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 156.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 135.3 MB
01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 133.2 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 130.7 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 130.1 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 126.7 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 118.0 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 117.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 114.8 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 113.1 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 112.6 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 110.7 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 107.4 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 107.3 MB

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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects

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01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 616.8 MB
05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 217.5 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 190.8 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 177.5 MB
03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 175.1 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 164.7 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 156.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 135.3 MB
01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 133.2 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 130.7 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 130.1 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 126.7 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 118.0 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 117.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 114.8 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 113.1 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 112.6 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 110.7 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 107.4 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 107.3 MB

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【压缩文件】 Master Linear Algebra for Data Science & Machine Learning DL

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Master Linear Algebra for Data Science & Machine Learning DL.zip 6.9 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

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【压缩文件】 Machine Head - Elegies (2005) [DVD9 PAL]

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MACHINE_HEAD_ELEGIES.ISO 6.8 GB
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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

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【压缩文件】 Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

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【压缩文件】 [Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

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【压缩文件】 [HiOrla.com] From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase.zip

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[HiOrla.com] From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase.zip 6.7 GB

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