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[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:2025-09-05 热度:234

[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

Complete Machine Learning & Data Science with R-2019

  • Complete Machine Learning & Data Science with R-2019.zip 6.3 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2022-05-08 大小:6.3 GB 最近下载:2025-08-15 热度:439

Complete Machine Learning & Data Science with R-2019

  • Complete Machine Learning & Data Science with R-2019.zip 6.3 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-03-15 大小:6.3 GB 最近下载:2025-09-08 热度:2086

Python Beyond Basics for Machine Learning, Data Science, AI

  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/12. Case Study with Scikit Learn Library.mp4 431.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/10. Plotly Library/1. Plotly Library Tutorial.mp4 334.3 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/13. Case Study with Scikit Learn Library.mp4 291.5 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/4. Python Crash Course/1. Python Crash Course.mp4 266.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/1. Numpy Library Tutorial 1.mp4 228.6 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/1. Matplotlib Library Tutorial 1.mp4 214.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/13. Artificial Intelligence/3. UGV Flow Chart.mp4 125.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/2. Seaborn Library Tutorial 2.mp4 119.4 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/3. Numpy Library Tutorial 3.mp4 114.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/3. Python Advance Concept/1. Collection Module.mp4 96.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/1. Introduction of Course/5. Data Science Introduction.mp4 93.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/6. Case Study with Logistic Regression.mp4 92.5 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/10. Case Study with KNN Algorithm.mp4 91.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/2. Case Study of Suicides in India 2001-2012.mp4 91.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/1. Seaborn Library Tutorial 1.mp4 86.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/2. Numpy Library Tutorial 2.mp4 82.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/4. Case Study of Titanic Dataset.mp4 78.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/4. Numpy Library Tutorial 4.mp4 75.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/7. Case Study with Support Vector Machines (SVM).mp4 74.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/4. Matplotlib Library Tutorial 4.mp4 73.1 MB
[磁力链接] 添加时间:2021-03-18 大小:6.2 GB 最近下载:2025-09-09 热度:9396

[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:2025-07-20 热度:57

[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:2025-08-24 热度:834

Machine Learning A-Z - Hands-On Python and R In Data Science

  • 31 Artificial Neural Networks.rar 530.5 MB
  • 29 -------------------- Part 7 Natural Language Processing --------------------.rar 469.8 MB
  • 05 Multiple Linear Regression.rar 384.0 MB
  • 32 Convolutional Neural Networks.rar 370.7 MB
  • 06 Polynomial Regression.rar 332.6 MB
  • 27 Upper Confidence Bound (UCB).rar 314.9 MB
  • 12 Logistic Regression.rar 284.8 MB
  • 24 Apriori.rar 279.3 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------.rar 247.8 MB
  • 04 Simple Linear Regression.rar 210.7 MB
  • 34 Principal Component Analysis (PCA).rar 204.1 MB
  • 16 Naive Bayes.rar 185.4 MB
  • 22 Hierarchical Clustering.rar 178.2 MB
  • 15 Kernel SVM.rar 177.7 MB
  • 38 Model Selection.rar 175.6 MB
  • 28 Thompson Sampling.rar 171.2 MB
  • 18 Random Forest Classification.rar 152.0 MB
  • 21 K-Means Clustering.rar 148.2 MB
  • 17 Decision Tree Classification.rar 130.6 MB
  • 08 Decision Tree Regression.rar 126.0 MB
[磁力链接] 添加时间:2021-04-25 大小:6.2 GB 最近下载:2025-09-08 热度:2811

Udemy - Data Science Transformers for Natural Language Processing (7.2024)

  • 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 108.3 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 98.5 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:2025-07-06 大小:6.2 GB 最近下载:2025-09-07 热度:320

Data Science NLP and Sentimental Analysis in R

  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/6. The dplyr package to handle data/9. Theory Pipe operator in R.mp4 161.5 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/44. Using NRC lexicon.mp4 151.6 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/30. Remove stop words.mp4 133.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/10. Clean data continued...mp4 130.2 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/1. Tools for webscraping in R.mp4 125.5 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/12. Get content using scraping.mp4 120.1 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/5. Building Logic in R/6. Theory Function in R.mp4 108.8 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/25. Remove Sparse terms.mp4 107.1 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/9. Cleaning the data.mp4 105.6 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/43. Using bing lexicon.mp4 101.3 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/8. Important Terminologies/2. What is web scraping.mp4 95.6 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/7. Introduction to Text mining/2. Common Techniques.mp4 91.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/41. Melting in R.mp4 91.7 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/40. Theory Reshape in R.mp4 90.2 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/16. Refine the data from data frame.mp4 88.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/7. Introduction to Text mining/1. Text Mining in R.mp4 87.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/2. Essentials R programming/2. Theory Installing packages in R.mp4 85.5 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/21. Theory Vector Space Model.mp4 83.1 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/33. Plot a bar graph.mp4 81.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/3. IMPORTANT Data Structures in R/2. Theory Vectors in R.mp4 81.8 MB
[磁力链接] 添加时间:2022-02-11 大小:6.2 GB 最近下载:2025-09-05 热度:2072

O'Reilly - Learning Path - Data Science with R

  • 01. Learning to Program with R, by Stuart Greenlee/001_introduction_and_course_overview.mp4 5.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/002_about_the_author.mp4 1.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/003_installing_r_and_r_studio.mp4 14.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/004_navigating_r_studio.mp4 17.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/005_packages.mp4 17.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/006_assigning_variables.mp4 10.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/007_numbers_strings_and_booleans.mp4 18.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/008_workspace_operations.mp4 32.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/009_how_to_access_your_working_files.mp4 4.9 MB
  • 01. Learning to Program with R, by Stuart Greenlee/010_basic_operators.mp4 13.3 MB
  • 01. Learning to Program with R, by Stuart Greenlee/011_vectors.mp4 21.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/012_sequences.mp4 19.3 MB
  • 01. Learning to Program with R, by Stuart Greenlee/013_basic_statistical_functions.mp4 13.9 MB
  • 01. Learning to Program with R, by Stuart Greenlee/014_matrices.mp4 14.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/015_matrix_operations.mp4 18.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/016_basic_matrix_statistics.mp4 15.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/017_generating_random_numbers.mp4 30.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/018_string_functions.mp4 24.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/019_dates_and_times.mp4 31.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/020_line_plots.mp4 28.0 MB
[磁力链接] 添加时间:2017-02-09 大小:6.2 GB 最近下载:2025-09-08 热度:5067

LiveLessson - Data Science Fundamentals Part 1

  • 35 3.7 Parsing Data with Python—JSON and XML.mp4 217.6 MB
  • 79 6.13 Querying Across Datasets with Joins.mp4 179.2 MB
  • 17 2.3 Acquiring Data.mp4 172.4 MB
  • 52 4.11 Keeping Things DRY with Inheritance.mp4 158.6 MB
  • 22 2.8 Triadic Closure in Python.mp4 148.0 MB
  • 62 5.7 Creating and Querying Records with peewee.mp4 145.8 MB
  • 38 3.10 Parametric API Requests with Python.mp4 145.0 MB
  • 37 3.9 Working with APIs.mp4 143.3 MB
  • 47 4.6 Magic Methods, Class Attributes, and Introspection.mp4 142.8 MB
  • 51 4.10 Customizing Model Interfaces with Setter Methods and Virtual Attributes.mp4 135.7 MB
  • 78 6.12 Joins with peewee.mp4 135.6 MB
  • 18 2.4 Wrangling Data.mp4 126.6 MB
  • 48 4.7 Exploring and Structuring the Foursquare Response.mp4 124.3 MB
  • 19 2.5 Exploring Data.mp4 124.1 MB
  • 61 5.6 ORMs in Python with peewee.mp4 123.7 MB
  • 68 6.2 Understanding your Data Quickly with Graphical Tools.mp4 122.4 MB
  • 56 5.1 Introduction to Databases with SQLite.mp4 122.1 MB
  • 76 6.10 Ranking and Sorting Venues.mp4 120.7 MB
  • 70 6.4 Data Quality Checks with peewee.mp4 118.4 MB
  • 49 4.8 Data Models Applied—Representing Foursquare Entities with Classes.mp4 117.1 MB
[磁力链接] 添加时间:2024-06-26 大小:6.1 GB 最近下载:2025-06-22 热度:468

[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:2025-07-03 热度:596

[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:2025-09-08 热度:7913

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:2025-09-06 热度:6436

[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:2025-07-16 热度:610

[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:2025-09-08 热度:2368

[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:2025-09-08 热度:1280

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

  • Data Science A-Z™ Real-Life Data Science Exercises Included.zip 6.0 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2022-02-21 大小:6.0 GB 最近下载:2025-09-07 热度:1387

[CourseClub.Me] Coursera - Data Science Foundations Data Structures and Algorithms Specialization

  • 2. Trees and Graphs Basics/Week 2/3. Depth First Search.mp4 218.0 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 1/3. Karatsuba’s Multiplication Algorithm.mp4 189.7 MB
  • 1/Week 1/2. An Introduction Through the Insertion Sort Algorithm.mp4 178.2 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/4. Knapsack Problem.mp4 176.6 MB
  • 1/Week 1/4. Asymptotic Notation.mp4 171.2 MB
  • 1/Week 1/3. Time and Space Complexity.mp4 171.2 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/1. Introduction to Dynamic Programming + Rod Cutting Problem.mp4 168.5 MB
  • 1/Week 3/4. Analysis of Quicksort Algorithm.mp4 168.1 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/3. Prefix Codes.mp4 165.4 MB
  • 2. Trees and Graphs Basics/Week 1/2. Binary Search Trees -- Insertion and Deletion.mp4 161.4 MB
  • 2. Trees and Graphs Basics/Week 3/3. Spanning Trees and Minimal Spanning Trees with Applications.mp4 157.0 MB
  • 1/Week 1/1. What is an Algorithm.mp4 152.6 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/6. Dynamic Programming Longest Common Subsequence.mp4 146.3 MB
  • 1/Week 3/3. Detailed Design of Partitioning Schemes.mp4 143.5 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/2. Rod Cutting Problem Memoization.mp4 134.0 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 1/2. Max Subarray Problem Using Divide and Conquer.mp4 130.8 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/2. Greedy Interval Scheduling.mp4 130.4 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/1. Introduction to Greedy Algorithms.mp4 109.8 MB
  • 2. Trees and Graphs Basics/Week 1/1. Binary Search Trees -- Introduction and Properties.mp4 108.7 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/5. Huffman Codes Proof of Optimality.mp4 104.1 MB
[磁力链接] 添加时间:2024-01-07 大小:6.0 GB 最近下载:2025-07-22 热度:648


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