磁力搜索 BT种子搜索利器 免费下载BT种子,超4000万条种子数据
为您找到约 638 个磁力链接/BT种子,耗时 2 毫秒。
排序: 相关程度 热度 文件大小 添加时间 最近访问

GetFreeCourses.Co-Udemy-Python A-Z™ Python For Data Science With Real Exercises!

  • 06 Advanced Visualization/059 BONUS Building Dashboards in Python.mp4 111.1 MB
  • 06 Advanced Visualization/060 BONUS Styling Tips.mp4 95.1 MB
  • 05 Data Frames/043 Filtering a Data Frame.mp4 92.4 MB
  • 05 Data Frames/041 Subsetting dataframes in Pandas.mp4 75.7 MB
  • 04 Matrices/028 Building Your First Matrix.mp4 74.6 MB
  • 04 Matrices/029 Dictionaries in Python.mp4 73.5 MB
  • 06 Advanced Visualization/061 BONUS Finishing Touches.mp4 69.0 MB
  • 06 Advanced Visualization/053 Stacked histograms in Python.mp4 60.3 MB
  • 05 Data Frames/047 Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
  • 04 Matrices/034 Advanced Function Design.mp4 59.5 MB
  • 07 Homework Solutions/072 THANK YOU bonus video.mp4 54.8 MB
  • 06 Advanced Visualization/057 Creating a Facet Grid.mp4 54.3 MB
  • 07 Homework Solutions/067 Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
  • 06 Advanced Visualization/055 Working with Subplots().mp4 52.3 MB
  • 04 Matrices/033 Creating Your First Function.mp4 50.9 MB
  • 05 Data Frames/045 Introduction to Seaborn.mp4 49.1 MB
  • 05 Data Frames/044 Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
  • 02 Core Programming Principles/005 Updates on Udemy Reviews.mp4 45.5 MB
  • 05 Data Frames/042 Basic operations with a Data Frame.mp4 44.5 MB
  • 04 Matrices/035 Basketball Insights.mp4 43.5 MB
[磁力链接] 添加时间:2021-03-28 大小:2.5 GB 最近下载:2025-05-20 热度:546

[Udemy] Master SQL For Data Science (2020)

  • lesson37.mp4 117.4 MB
  • lesson35.mp4 116.7 MB
  • lesson32.mp4 84.3 MB
  • lesson4.mp4 75.1 MB
  • lesson36.mp4 66.2 MB
  • lesson1.mp4 55.4 MB
  • lesson5.mp4 45.3 MB
  • lesson28.mp4 42.6 MB
  • lesson8.mp4 42.4 MB
  • lesson6.mp4 41.9 MB
  • lesson34.mp4 36.5 MB
  • lesson23.mp4 34.7 MB
  • lesson21.mp4 34.6 MB
  • lesson7.mp4 34.4 MB
  • lesson25.mp4 33.6 MB
  • lesson24.mp4 31.7 MB
  • lesson9.mp4 31.6 MB
  • lesson33.mp4 31.3 MB
  • lesson20.mp4 31.2 MB
  • lesson31.mp4 28.7 MB
[磁力链接] 添加时间:2021-03-27 大小:1.4 GB 最近下载:2025-05-20 热度:2209

[ FreeCourseWeb.com ] Udemy - Statistics & Mathematics for Data Science & Data Analytics.zip

  • [ FreeCourseWeb.com ] Udemy - Statistics & Mathematics for Data Science & Data Analytics.zip 5.0 GB
[磁力链接] 添加时间:2021-03-27 大小:5.0 GB 最近下载:2025-05-21 热度:6212

[TutNetFlix.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4 162.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-03-27 大小:20.5 GB 最近下载:2025-05-18 热度:403

[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]

  • 5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4 29.4 MB
  • 6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4 27.0 MB
  • 5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4 26.7 MB
  • 5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4 24.5 MB
  • 6. Regression & Predictions/10. Model Comparison Tool.mp4 23.0 MB
  • 7. Classification Modeling/9. Model Comparison Tool.mp4 21.9 MB
  • 6. Regression & Predictions/4. Linear Regression.mp4 21.7 MB
  • 8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4 20.8 MB
  • 2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4 20.1 MB
  • 6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4 19.3 MB
  • 6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4 18.3 MB
  • 3. Distribution Types/7. Fitting Distributions - Advanced.mp4 17.9 MB
  • 2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4 17.7 MB
  • 5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4 17.5 MB
  • 2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4 16.9 MB
  • 4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4 16.7 MB
  • 7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4 16.7 MB
  • 3. Distribution Types/6. Normal Distribution.mp4 15.8 MB
  • 5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4 15.1 MB
  • 4. Inferential Statistics with Visualizations/2. Bar Charts.mp4 15.1 MB
[磁力链接] 添加时间:2021-03-27 大小:759.8 MB 最近下载:2025-05-21 热度:8049

[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:2025-05-19 热度:571

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
[磁力链接] 添加时间:2021-03-26 大小:12.7 GB 最近下载:2025-05-19 热度:767

[Udemy] Statistics for Data Science and Business Analysis (2020)

  • 05 Practical example descriptive statistics/026 Practical example.mp4 168.3 MB
  • 17 Practical example regression analysis/091 Practical example regression analysis.mp4 135.6 MB
  • 09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 107.6 MB
  • 10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 96.6 MB
  • 10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 86.5 MB
  • 07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 76.1 MB
  • 08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 72.7 MB
  • 01 Introduction/001 What does the course cover.mp4 72.0 MB
  • 06 Distributions/033 Understanding the central limit theorem.mp4 65.9 MB
  • 06 Distributions/029 What is a distribution.mp4 64.6 MB
  • 02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 60.9 MB
  • 07 Estimators and estimates/039 Confidence interval clarifications.mp4 59.9 MB
  • 11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 57.0 MB
  • 11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 56.9 MB
  • 13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 53.5 MB
  • 04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-26 大小:3.0 GB 最近下载:2025-05-20 热度:2031

[ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip

  • [ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip 1.9 GB
[磁力链接] 添加时间:2021-03-26 大小:1.9 GB 最近下载:2025-05-21 热度:2554

[ FreeCourseWeb.com ] Udemy - Data Science - Complete Alteryx Bootcamp (Hands-on Alteryx).zip

  • [ FreeCourseWeb.com ] Udemy - Data Science - Complete Alteryx Bootcamp (Hands-on Alteryx).zip 2.7 GB
[磁力链接] 添加时间:2021-03-25 大小:2.7 GB 最近下载:2025-05-20 热度:743

[FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python

  • 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
  • 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
  • 4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
  • 9. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
  • 9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
  • 9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
  • 9. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
  • 9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.0 MB
  • 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
  • 9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
  • 3. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
  • 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 39.8 MB
  • 10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 7. Write your own article spinner/2. More about Language Models.mp4 38.4 MB
  • 3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 32.1 MB
  • 10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
[磁力链接] 添加时间:2021-03-25 大小:1.8 GB 最近下载:2025-05-11 热度:743

[DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020

  • 11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
  • 11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
  • 11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.8 MB
  • 11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
  • 11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
  • 12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
  • 11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
  • 6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
  • 12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
  • 5. Matrices/18. Lists in R.mp4 52.7 MB
  • 11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
  • 12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
  • 1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
  • 11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
  • 3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
  • 11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
  • 12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
  • 12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
  • 6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
  • 5. Matrices/14. Categorical data.mp4 32.3 MB
[磁力链接] 添加时间:2021-03-25 大小:1.9 GB 最近下载:2025-05-21 热度:3344

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-05-14 热度:1151

[DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
  • 4. Matrices/4. Building Your First Matrix.srt 183.0 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
  • 4. Matrices/12. Basketball Insights.mp4 180.7 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
  • 5. Data Frames/10. Building Dataframes.mp4 154.6 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
  • 1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
  • 4. Matrices/9. Subsetting.mp4 142.3 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
  • 6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
  • 4. Matrices/11. Creating Your First Function.mp4 130.6 MB
[磁力链接] 添加时间:2021-03-25 大小:7.7 GB 最近下载:2024-07-04 热度:128

[FreeCourseLab.com] Udemy - Tableau 10 A-Z Hands-On Tableau Training For Data Science!

  • 1. It's super easy to get Started/4. Updates on Udemy Reviews.mp4 51.6 MB
  • 7. Advanced Data Preparation/3. Data Interpreter.mp4 39.9 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 29.2 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 25.5 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 24.9 MB
  • 8. What's new in Tableau 10/2. The Challenge Startup Expansion Analytics.mp4 24.4 MB
  • 8. What's new in Tableau 10/8. Modeling With Clusters.mp4 24.4 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/5. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 23.7 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 23.1 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 22.1 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 21.9 MB
  • 8. What's new in Tableau 10/3. Custom Territories Via Groups.mp4 21.9 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 21.7 MB
  • 9. Conclusion/1. Course overview and roadmap download.mp4 20.9 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 20.1 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 19.7 MB
  • 3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 19.5 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/4. Creating a Scatter Plot, Applying Filters to Multiple Worksheets.mp4 19.4 MB
  • 2. Tableau Basics Your First Bar chart/6. Adding Labels and Formatting.mp4 18.8 MB
  • 3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 17.6 MB
[磁力链接] 添加时间:2021-03-25 大小:1.0 GB 最近下载:2025-05-06 热度:599

[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

[FreeAllCourse.Com] Udemy - Statistics for Data Science and Business Analysis

  • 5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
  • 17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
  • 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
  • 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
  • 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
  • 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
  • 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
  • 1. Introduction/1. What does the course cover.mp4 72.0 MB
  • 6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
  • 6. Distributions/2. What is a distribution.mp4 64.6 MB
  • 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
  • 7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.srt 58.6 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
  • 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
  • 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
  • 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
[磁力链接] 添加时间:2021-03-24 大小:3.1 GB 最近下载:2025-05-18 热度:1077

[DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis

  • 5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
  • 17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
  • 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
  • 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
  • 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
  • 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
  • 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
  • 1. Introduction/1. What does the course cover.mp4 72.0 MB
  • 6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
  • 6. Distributions/2. What is a distribution.mp4 64.6 MB
  • 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
  • 7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
  • 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
  • 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
  • 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-24 大小:3.0 GB 最近下载:2025-05-18 热度:1504

[GigaCourse.com] Udemy - Statistics for Data Science and Business Analysis

  • 5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
  • 17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
  • 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
  • 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
  • 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
  • 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
  • 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.8 MB
  • 1. Introduction/1. What does the course cover.mp4 72.0 MB
  • 6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
  • 6. Distributions/2. What is a distribution.mp4 64.6 MB
  • 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
  • 7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
  • 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
  • 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
  • 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-22 大小:3.0 GB 最近下载:2025-05-18 热度:1554

[ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip

  • [ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip 1.5 GB
[磁力链接] 添加时间:2021-03-22 大小:1.5 GB 最近下载:2025-03-04 热度:477


共32页 上一页 20 21 22 23 24 25 26 27 28 下一页