udemy data science -移花宫 -武林禁地，闲人禁止入内

[FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/5.1 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!/6. 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
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2024-11-21 热度:58

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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.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 49.5 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
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2022-03-14 大小:6.5 GB 最近下载:2025-03-21 热度:679

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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.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 49.5 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
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-05-08 热度:1060

[GigaCourse.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.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.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/14. 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
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-29 大小:6.4 GB 最近下载:2025-03-20 热度:666

[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip

[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip 6.3 GB

[磁力链接] 添加时间:2022-03-01 大小:6.3 GB 最近下载:2025-05-17 热度:792

[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB

[磁力链接] 添加时间:2021-03-26 大小:6.3 GB 最近下载:2025-04-30 热度:569

Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB

[磁力链接] 添加时间:2022-01-09 大小:6.3 GB 最近下载:2025-04-02 热度:67

[Tutorialsplanet.NET] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB

[磁力链接] 添加时间:2021-03-29 大小:6.3 GB 最近下载:2025-04-30 热度:230

[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB

[磁力链接] 添加时间:2021-03-08 大小:6.3 GB 最近下载:2025-02-05 热度:207

[FreeCourseSite.com] Udemy - Data Science AZ™ RealLife Data Science Exercises Included

[FreeCourseSite.com] Udemy - Data Science AZ™ RealLife Data Science Exercises Included.part1.rar 3.2 GB
[FreeCourseSite.com] Udemy - Data Science AZ™ RealLife Data Science Exercises Included.part2.rar 3.0 GB

[磁力链接] 添加时间:2023-12-26 大小:6.2 GB 最近下载:2024-09-20 热度:56

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 150.6 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB

[磁力链接] 添加时间:2022-03-02 大小:6.2 GB 最近下载:2025-05-09 热度:790

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/5. Updates on Udemy Reviews.mp4 55.5 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 49.5 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
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4 45.4 MB
28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 45.2 MB

[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-05-19 热度:578

[FreeCourseSite.com] Udemy - Data Science Transformers for Natural Language Processing

4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.mp4 137.1 MB
7. Question-Answering (Advanced)/13. From Logits to Answers in Python.mp4 126.5 MB
9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.mp4 126.2 MB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).mp4 120.7 MB
9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4 113.9 MB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.mp4 112.0 MB
7. Question-Answering (Advanced)/7. Aligning the Targets in Python.mp4 108.4 MB
3. Beginner's Corner/4. Sentiment Analysis in Python.mp4 101.8 MB
7. Question-Answering (Advanced)/12. From Logits to Answers.mp4 100.2 MB
9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4 99.8 MB
9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4 98.6 MB
9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.mp4 97.9 MB
9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.mp4 93.7 MB
3. Beginner's Corner/18. Zero-Shot Classification in Python.mp4 91.9 MB
3. Beginner's Corner/6. Text Generation in Python.mp4 90.5 MB
4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.mp4 88.4 MB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.mp4 82.0 MB
7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.mp4 80.2 MB

[磁力链接] 添加时间:2023-12-17 大小:6.1 GB 最近下载:2025-05-19 热度:7344

GetFreeCourses.Co-Udemy-Data Science Transformers for Natural Language Processing

4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.mp4 137.1 MB
7. Question-Answering (Advanced)/13. From Logits to Answers in Python.mp4 126.5 MB
9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.mp4 126.2 MB
5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).mp4 120.7 MB
9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4 113.9 MB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.mp4 112.0 MB
7. Question-Answering (Advanced)/7. Aligning the Targets in Python.mp4 108.4 MB
3. Beginner's Corner/4. Sentiment Analysis in Python.mp4 101.8 MB
7. Question-Answering (Advanced)/12. From Logits to Answers.mp4 100.2 MB
9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4 99.8 MB
9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4 98.6 MB
9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.mp4 97.9 MB
9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.mp4 93.7 MB
3. Beginner's Corner/18. Zero-Shot Classification in Python.mp4 91.9 MB
3. Beginner's Corner/6. Text Generation in Python.mp4 90.5 MB
4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.mp4 88.4 MB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.mp4 82.0 MB
7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.mp4 80.2 MB

[磁力链接] 添加时间:2024-01-02 大小:6.1 GB 最近下载:2025-05-18 热度:5709

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

25 Neural Nets and Deep Learning/151 Tensorboard.mp4 151.2 MB
25 Neural Nets and Deep Learning/144 Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25 Neural Nets and Deep Learning/136 TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25 Neural Nets and Deep Learning/147 Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25 Neural Nets and Deep Learning/141 TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25 Neural Nets and Deep Learning/145 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26 Big Data and Spark with Python/158 EC2 Instance Set-Up.mp4 90.7 MB
25 Neural Nets and Deep Learning/146 Keras Project Solutions - Categorical Data.mp4 89.5 MB
25 Neural Nets and Deep Learning/134 TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14 Introduction to Machine Learning/078 Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25 Neural Nets and Deep Learning/143 TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
02 Environment Set-Up/004 Python Environment Setup.mp4 80.1 MB
25 Neural Nets and Deep Learning/137 TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25 Neural Nets and Deep Learning/130 Cost Functions and Gradient Descent.mp4 79.7 MB
18 K Nearest Neighbors/097 KNN Project Solutions.mp4 74.3 MB
26 Big Data and Spark with Python/163 RDD Transformations and Actions.mp4 74.2 MB
26 Big Data and Spark with Python/160 PySpark Setup.mp4 74.0 MB
25 Neural Nets and Deep Learning/139 TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25 Neural Nets and Deep Learning/135 TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25 Neural Nets and Deep Learning/150 Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-04-09 大小:6.1 GB 最近下载:2025-05-13 热度:603

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-05-19 热度:2264

[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-04-02 大小:6.0 GB 最近下载:2025-05-18 热度:1215

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset.mp4 24.4 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data-subtitle-en.srt 24.2 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data.mp4 33.7 MB

[磁力链接] 添加时间:2018-02-06 大小:5.9 GB 最近下载:2025-05-17 热度:688

[Tutorialsplanet.NET] Udemy - Natural Language Processing für Data Science mit Python

7 - Themenmodellierung/67 - Latent Dirichlet Allocation mit Python Teil 2.mp4 182.4 MB
4 - Part of Speech Tagging und Named Entity Recognition/33 - Part of Speech Tagging.mp4 176.8 MB
9 - Meilenstein Projekt/87 - Chat Bots erstellen mit Python Teil 3.mp4 171.4 MB
3 - Natural Language Processing Grundlagen/22 - SpaCy Grundlagen Teil 2.mp4 169.3 MB
7 - Themenmodellierung/69 - Nonnegative Matrix Factorization mit Python.mp4 161.6 MB
9 - Meilenstein Projekt/88 - Chat Bots erstellen mit Python Teil 4.mp4 144.4 MB
8 - Deep Learning fur NLP/77 - Keras Grundlagen Teil 2.mp4 143.0 MB
6 - Semantik und Stimmungsanalyse/59 - Stimmungsanalyse mit NLTK.mp4 140.1 MB
9 - Meilenstein Projekt/86 - Chat Bots erstellen mit Python Teil 2.mp4 138.4 MB
2 - Python Textgrundlagen/13 - Arbeiten mit PDFs.mp4 135.7 MB
3 - Natural Language Processing Grundlagen/28 - PhrasenMatching und Wortschatz Teil 1.mp4 134.9 MB
8 - Deep Learning fur NLP/80 - Textgenerierung mit LSTMs mit Keras und Python Teil 1.mp4 130.3 MB
4 - Part of Speech Tagging und Named Entity Recognition/40 - Part Of Speech Assessment Losungen.mp4 128.0 MB
6 - Semantik und Stimmungsanalyse/62 - Stimmungsanalyse Projekt Assessment Losungen.mp4 127.9 MB
7 - Themenmodellierung/71 - Themenmodellierung Projekt Losungen.mp4 123.3 MB
8 - Deep Learning fur NLP/81 - Textgenerierung mit LSTMs mit Keras und Python Teil 2.mp4 121.6 MB
2 - Python Textgrundlagen/15 - Regular Expressions Teil 2.mp4 121.4 MB
2 - Python Textgrundlagen/14 - Regular Expressions Teil 1.mp4 120.2 MB
5 - Textklassifizierung/51 - Textklassifizierung Code Along Projekt.mp4 109.0 MB
3 - Natural Language Processing Grundlagen/24 - Tokenisierung Teil 2.mp4 104.5 MB

[磁力链接] 添加时间:2024-09-25 大小:5.8 GB 最近下载:2025-05-18 热度:462

GetFreeCourses.Co-Udemy-R for Data Science Your First Step as a Data Scientist

10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.mp4 148.4 MB
03 Installing Libraries/001 Installing Libraries.mp4 147.6 MB
07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.mp4 140.8 MB
07 Model Evaluation and Selection/003 Example of a High Variance Model.mp4 138.6 MB
05 Linear Regression/009 Gradient Descent Intuition - Part 1.mp4 137.1 MB
01 Introduction/001 Welcome to the Course!.mp4 134.7 MB
07 Model Evaluation and Selection/006 Performance across Training and Test Data.mp4 133.9 MB
08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.mp4 125.6 MB
10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.mp4 118.1 MB
08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.mp4 118.0 MB
10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.mp4 116.7 MB
05 Linear Regression/012 Multivariate Linear Regression.mp4 114.8 MB
05 Linear Regression/007 Linear Regression Evaluation.mp4 113.9 MB
10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.mp4 113.5 MB
10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.mp4 111.6 MB
07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.mp4 109.5 MB
06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.mp4 98.5 MB
07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.mp4 94.7 MB
02 Setting up Environment - R and R Studio/002 Installing R Studio.mp4 94.4 MB
10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.mp4 93.5 MB

[磁力链接] 添加时间:2022-04-24 大小:5.8 GB 最近下载:2025-05-18 热度:660