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[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:2025-05-26 热度:1168

[FreeCoursesOnline.Me] [Pluralsight] Boost Data Science Productivity with PyCharm [FCO]

  • 06.Exploring Data/0602.Exploring a Dataset.mp4 27.4 MB
  • 06.Exploring Data/0605.SQL Queries.mp4 27.1 MB
  • 04.Writing Better Code/0405.Testing.mp4 23.8 MB
  • 06.Exploring Data/0604.R Scripts.mp4 23.3 MB
  • 03.Understanding Code/0307.Running Code.mp4 23.1 MB
  • 04.Writing Better Code/0403.Demo.mp4 21.6 MB
  • 04.Writing Better Code/0406.Version Control with Git.mp4 19.9 MB
  • 03.Understanding Code/0308.Running Tests.mp4 17.9 MB
  • 06.Exploring Data/0603.Jupyter Notebooks.mp4 17.2 MB
  • 05.Debugging Code/0501.Breakpoints.mp4 16.9 MB
  • 06.Exploring Data/0606.Summary.mp4 16.7 MB
  • 01.Course Overview/0101.Course Overview.mp4 16.1 MB
  • 05.Debugging Code/0505.Remote Debugging.mp4 15.0 MB
  • 04.Writing Better Code/0404.Inspections.mp4 14.1 MB
  • 06.Exploring Data/0601.Scientific Mode.mp4 13.8 MB
  • 03.Understanding Code/0301.Projects.mp4 13.7 MB
  • 02.Getting Started/0204.Customizing PyCharm.mp4 13.2 MB
  • 03.Understanding Code/0302.Searching.mp4 13.2 MB
  • 02.Getting Started/0201.Setting Expectations.mp4 13.1 MB
  • 05.Debugging Code/0503.Stepping.mp4 12.7 MB
[磁力链接] 添加时间:2021-03-25 大小:447.7 MB 最近下载:2025-05-30 热度:899

[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:2025-06-01 热度:3381

[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

[ 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:2025-05-27 热度:746

[ 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:2025-06-01 热度:2621

[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:2025-06-01 热度:2355

[FreeCoursesOnline.Me] [Skillshare] Data Science and Machine Learning Prerequisite Mathematics [FCO]

  • 12-Statistical Function in Excel.mp4 78.7 MB
  • 0-Measure of central tendency.mp4 26.8 MB
  • 10-Union Intersection of complement of event.mp4 22.4 MB
  • 8-Combinations.mp4 20.9 MB
  • 6-Permutations.mp4 18.7 MB
  • 3-Quartiles and Interquartile range.mp4 15.0 MB
  • 11-Independent and dependent event.mp4 12.7 MB
  • 1-Mean vs Median.mp4 12.2 MB
  • 2-Measure of Dispersion.mp4 11.2 MB
  • 9-Introduction to Probability.mp4 10.1 MB
  • 5-CoVariance and Pearson correlation.mp4 9.7 MB
  • 4-Correlation vs Causality.mp4 7.7 MB
  • 7-Permutations Exercise.mp4 7.4 MB
  • FreeCoursesOnline.Me.html 110.9 kB
  • FTUForum.com.html 102.8 kB
  • Discuss.FTUForum.com.html 32.7 kB
  • tmp files.zip 12.8 kB
  • How you can help Team-FTU.txt 235 Bytes
  • NulledPremium.com.url 163 Bytes
  • Torrent Downloaded From GloDls.to.txt 84 Bytes
[磁力链接] 添加时间:2021-03-26 大小:253.7 MB 最近下载:2025-05-31 热度:925

[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:2025-05-24 热度:771

Python for Data Science and Machine Learning Bootcamp

  • Python for Data Science and Machine Learning Bootcamp.zip 3.5 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
  • TutsGalaxy.com.txt 53 Bytes
[磁力链接] 添加时间:2021-03-26 大小:3.5 GB 最近下载:2025-05-31 热度:6252

[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:2025-06-01 热度:8323

[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:2025-05-31 热度:426

The Complete R Programming for Data Science - 7 courses in 1

  • The Complete R Programming for Data Science - 7 courses in 1.zip 7.6 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-27 大小:7.6 GB 最近下载:2025-05-31 热度:7353

[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:2025-05-31 热度:2271

Annual Review of Biomedical Data Science

  • 001_2018/275_304.pdf 14.8 MB
  • 002_2019/139_173.pdf 10.6 MB
  • 003_2020/163_190.pdf 6.9 MB
  • 002_2019/253_279.pdf 5.4 MB
  • 001_2018/207_234.pdf 4.2 MB
  • 003_2020/043_59.pdf 3.4 MB
  • 001_2018/181_205.pdf 3.2 MB
  • 001_2018/235_261.pdf 3.2 MB
  • 001_2018/153_180.pdf 3.0 MB
  • 003_2020/217_241.pdf 3.0 MB
  • 002_2019/223_251.pdf 2.8 MB
  • 002_2019/119_138.pdf 2.8 MB
  • 001_2018/001_27.pdf 2.6 MB
  • 003_2020/433_458.pdf 2.3 MB
  • 003_2020/089_112.pdf 2.2 MB
  • 001_2018/029_51.pdf 2.0 MB
  • 001_2018/305_331s.xlsx 1.9 MB
  • 003_2020/365_390.pdf 1.9 MB
  • 003_2020/113_136.pdf 1.8 MB
  • 003_2020/243_263.pdf 1.8 MB
[磁力链接] 添加时间:2021-03-27 大小:105.6 MB 最近下载:2025-03-13 热度:295

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:2025-05-25 热度:548

[ FreeCourseWeb.com ] Udemy - Statistics for Business Analytics and Data Science A-Z.zip

  • [ FreeCourseWeb.com ] Udemy - Statistics for Business Analytics and Data Science A-Z.zip 1.2 GB
[磁力链接] 添加时间:2021-03-28 大小:1.2 GB 最近下载:2025-05-31 热度:3587

[FreeCoursesOnline.Me] UDACITY - Programming for Data Science v1.0.0

  • Part 01-Module 01-Lesson 01_Welcome to the Nanodegree/08. 03 Learning StrategiesFULL-Z00urcJVhYk.mp4 28.3 MB
  • Part 01-Module 01-Lesson 03_The Life of a Data Scientist/04. المزارع ميتش-liGQ2LknBmY.mp4 26.6 MB
  • Part 01-Module 01-Lesson 03_The Life of a Data Scientist/03. Industry Interview Sinthuja-R5XBQ7dSz7w.mp4 26.5 MB
  • Part 04-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
  • Part 04-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
  • Part 04-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 22.0 MB
  • Part 08-Module 01-Lesson 03_Data Visualizations in Tableau/01. What is Tableau-LeCpU8HvVg8.mp4 21.1 MB
  • Part 04-Module 01-Lesson 04_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20.9 MB
  • Part 04-Module 01-Lesson 09_Advanced Topics/02. Iterators And Generators-tYH8X4Zeh-0.mp4 19.9 MB
  • Part 08-Module 01-Lesson 04_Making Dashboards Stories in Tableau/05. Tableau Dashboards Stories with Trina-i9xslfFp80g.mp4 19.7 MB
  • Part 04-Module 01-Lesson 04_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 19.3 MB
  • Part 04-Module 01-Lesson 04_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 19.2 MB
  • Part 04-Module 01-Lesson 04_Control Flow/36. List Comprehensions-6qxo-NV9v_s.mp4 18.2 MB
  • Part 02-Module 01-Lesson 04_SQL Subqueries Temporary Tables/11. Subquery Solution Video-Y6S3S0LsMrw.mp4 18.1 MB
  • Part 04-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 18.1 MB
  • Part 04-Module 01-Lesson 04_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.8 MB
  • Part 04-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 17.6 MB
  • Part 06-Module 01-Lesson 01_Congratulations!/02. DAND Trailer V5-RkYdKhhGe8c.mp4 17.0 MB
  • Part 04-Module 01-Lesson 05_Functions/10. Documentation-_Vl9NJkA6JQ.mp4 16.7 MB
  • Part 04-Module 01-Lesson 04_Control Flow/33. Zip and Enumerate-bSJPzVArE7M.mp4 16.5 MB
[磁力链接] 添加时间:2021-03-28 大小:2.4 GB 最近下载:2025-05-30 热度:1792

[Tutorialsplanet.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 68.9 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:2021-03-28 大小:1.9 GB 最近下载:2025-05-26 热度:3554

[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

  • 9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
  • 10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
  • 9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
  • 11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
  • 4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
  • 11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
  • 10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
  • 2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
  • 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
  • 2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
  • 2. K-Nearest Neighbor/9. Suggestion Box.mp4 16.9 MB
  • 6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
  • 3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
  • 10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-03-29 大小:1.1 GB 最近下载:2025-05-12 热度:146


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