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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
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