udemy data science -移花宫 -武林禁地，闲人禁止入内

[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:2025-05-28 热度:1536

[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:2025-05-28 热度:1087

[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

[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

[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

[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

[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:2025-05-28 热度:3354

[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:2025-05-29 热度:2285

[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

[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:2025-05-29 热度:8201

[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:2025-05-28 热度:421

[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:2025-05-28 热度:2266

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:2025-05-28 热度:3573

[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

[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:2025-05-24 热度:678

[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.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
3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB

[磁力链接] 添加时间:2021-03-29 大小:7.2 GB 最近下载:2025-05-14 热度:973

[ FreeCourseWeb.com ] Udemy - Complete Data Science Course- Beginner to Advance.zip

[ FreeCourseWeb.com ] Udemy - Complete Data Science Course- Beginner to Advance.zip 832.8 MB

[磁力链接] 添加时间:2021-03-29 大小:832.8 MB 最近下载:2025-05-06 热度:60

[GigaCourse.com] Udemy - Advanced Data Science Techniques in SPSS

01 Getting Started/001 Introduction.mp4 47.8 MB
06 Growing Binary Trees (CART) in SPSS/045 Using Binary Trees for Future Predictions.mp4 36.1 MB
04 K Nearest Neighbor in SPSS/027 Interpreting the results of the KNN analysis.mp4 30.4 MB
06 Growing Binary Trees (CART) in SPSS/042 Interpreting the CART Classification Tree.mp4 29.7 MB
11 Two-Step Cluster Analysis/067 Interpreting the Output of the Two-Step Cluster Analysis (2).mp4 26.3 MB
02 Advanced Linear Regression Techniques/005 Interpreting the Results of the Stepwise Method.mp4 25.9 MB
07 Growing Non-Binary Trees (CHAID) in SPSS/047 Interpreting a CHAID Regression Tree.mp4 21.8 MB
07 Growing Non-Binary Trees (CHAID) in SPSS/052 Using Non-Binary Trees for Future Predictions.mp4 21.4 MB
04 K Nearest Neighbor in SPSS/030 Using the KNN Model for Future Predictions.mp4 21.3 MB
07 Growing Non-Binary Trees (CHAID) in SPSS/050 Interpreting a CHAID Classification Tree.mp4 21.1 MB
09 Training a Multilayer Perceptron (MLP) in SPSS/058 Interpreting the Multilayer Perceptron.mp4 20.5 MB
06 Growing Binary Trees (CART) in SPSS/036 Intepreting a Binary Regression Tree (1).mp4 19.7 MB
03 Nonlinear Regression Analysis/015 Performing a Quadratic Regression in SPSS (1).mp4 19.5 MB
06 Growing Binary Trees (CART) in SPSS/041 Growing a CART Classification Tree in SPSS.mp4 18.4 MB
11 Two-Step Cluster Analysis/066 Interpreting the Output of the Two-Step Cluster Analysis (1).mp4 18.1 MB
12 Survival Analysis/077 Executing the Cox Regression.mp4 16.5 MB
02 Advanced Linear Regression Techniques/007 Interpreting the Results of the Forward Selection Method.mp4 14.7 MB
04 K Nearest Neighbor in SPSS/026 Performing the KNN technique.mp4 14.5 MB
05 Introduction to Decision Trees/031 What Are Decision Trees.mp4 14.3 MB
03 Nonlinear Regression Analysis/017 Performing a Cubic Regression in SPSS (1).mp4 14.1 MB

[磁力链接] 添加时间:2021-03-30 大小:953.7 MB 最近下载:2025-04-26 热度:30

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip 391.1 MB

[磁力链接] 添加时间:2021-03-30 大小:391.1 MB 最近下载:2025-05-27 热度:782