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- 【影视】 GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021
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收录时间:2022-04-20
文档个数:160
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6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
3. Data Preprocessing/12. Normalization.mp4 195.9 MB
5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!
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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 154.5 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
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- 【影视】 [DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!
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收录时间:2021-03-29
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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
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- 【影视】 structy - Data Structures & Algorithms made simple [Python, Cpp]
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5_15_best_bridge_py_walkthrough_[542883949].mp4 80.5 MB
5_15_best_bridge_cpp_walkthrough_[586914948].mp4 73.1 MB
8_07_substitute_synonyms_cpp_walkthrough_[600543394].mp4 71.9 MB
4_15_tree_levels_py_walkthrough_[536053521].mp4 66.1 MB
3_17_add_lists_py_walkthrough_[538107595].mp4 66.0 MB
3_17_add_lists_cpp_walkthrough_[582303155].mp4 64.5 MB
9_21_build_tree_in_pre_py_walkthrough_[565384072].mp4 61.9 MB
8_06_parenthetical_possibilities_cpp_walkthrough_[596669946].mp4 55.7 MB
5_02_graph_intro_cpp_walkthrough_[661037212].mp4 55.3 MB
4_10_tree_path_finder_py_walkthrough_[536062477].mp4 55.1 MB
5_03_graph_intro_py_walkthrough_[661036721].mp4 55.1 MB
8_07_substitute_synonyms_py_walkthrough_[556604794].mp4 54.0 MB
4_04_depth_first_values_py_walkthrough_[536068364].mp4 53.4 MB
4_04_depth_first_values_cpp_walkthrough_[582301941].mp4 51.9 MB
9_26_string_search_py_walkthrough_[566315141].mp4 49.6 MB
8_06_parenthetical_possibilities_py_walkthrough_[555513365].mp4 49.3 MB
6_02_fib_approach_[536074583].mp4 46.0 MB
3_15_insert_node_cpp_walkthrough_[580928488].mp4 45.3 MB
5_12_closest_carrot_py_walkthrough_[541974836].mp4 44.8 MB
5_18_knight_attack_cpp_walkthrough_[771810013].mp4 44.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Science A-Z™ Hands-On Exercises & ChatGPT Bonus [2023]
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收录时间:2024-01-09
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20 - Handling errors during ETL Phases 1 & 2/136 - What do you do when your source file is corrupt Part 1.mp4 315.8 MB
20 - Handling errors during ETL Phases 1 & 2/142 - How to analyze the error files.mp4 223.7 MB
27 - Homework Solutions/214 - ETL Error Handling Phases 1 and 2.mp4 217.3 MB
27 - Homework Solutions/215 - ETL Error Handling Vehicle Service Project Part 1 of 3.mp4 179.2 MB
27 - Homework Solutions/217 - ETL Error Handling Vehicle Service Project Part 3 of 3.mp4 156.2 MB
26 - Presenting for Data Scientists/205 - REAL Data Science Presentation Walkthrough.mp4 154.2 MB
13 - Assessing your model/90 - How to build a CAP curve in Excel.mp4 140.1 MB
23 - Handling errors during ETL Phase 3/182 - Upload the data to RAW table.mp4 140.0 MB
10 - Multiple Linear Regression/65 - Backward Elimination.mp4 120.5 MB
14 - Drawing insights from your model/102 - Deriving insights from your coefficients advanced topic.mp4 120.1 MB
20 - Handling errors during ETL Phases 1 & 2/138 - SSIS Error Data truncation.mp4 119.7 MB
10 - Multiple Linear Regression/67 - Interpreting coefficients of MLR.mp4 108.6 MB
6 - Advanced Data Mining With Tableau/41 - Bonus Chi.mp4 103.3 MB
6 - Advanced Data Mining With Tableau/40 - Visualising Balance and Estimated Salary distribution.mp4 100.5 MB
22 - ETL Phase 3 Data Wrangling after the load/176 - Converting data on the fly.mp4 98.3 MB
13 - Assessing your model/94 - Applying the model to test data.mp4 88.3 MB
13 - Assessing your model/95 - Comparing training performance and test performance.mp4 87.0 MB
10 - Multiple Linear Regression/64 - Ways to build a model BACKWARD FORWARD STEPWISE.mp4 78.0 MB
20 - Handling errors during ETL Phases 1 & 2/137 - What do you do when your source file is corrupt Part 2.mp4 74.8 MB
12 - Building a robust geodemographic segmentation model/81 - Lets build the model.mp4 74.5 MB
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- 【影视】 [GigaCourse.Com] Udemy - Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus [2023]
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20 - Handling errors during ETL Phases 1 & 2/136 - What do you do when your source file is corrupt Part 1.mp4 315.8 MB
20 - Handling errors during ETL Phases 1 & 2/142 - How to analyze the error files.mp4 223.7 MB
27 - Homework Solutions/214 - ETL Error Handling Phases 1 and 2.mp4 217.3 MB
27 - Homework Solutions/215 - ETL Error Handling Vehicle Service Project Part 1 of 3.mp4 179.2 MB
27 - Homework Solutions/217 - ETL Error Handling Vehicle Service Project Part 3 of 3.mp4 156.2 MB
26 - Presenting for Data Scientists/205 - REAL Data Science Presentation Walkthrough.mp4 154.2 MB
13 - Assessing your model/90 - How to build a CAP curve in Excel.mp4 140.1 MB
23 - Handling errors during ETL Phase 3/182 - Upload the data to RAW table.mp4 140.0 MB
10 - Multiple Linear Regression/65 - Backward Elimination.mp4 120.5 MB
14 - Drawing insights from your model/102 - Deriving insights from your coefficients advanced topic.mp4 120.1 MB
20 - Handling errors during ETL Phases 1 & 2/138 - SSIS Error Data truncation.mp4 119.7 MB
10 - Multiple Linear Regression/67 - Interpreting coefficients of MLR.mp4 108.6 MB
6 - Advanced Data Mining With Tableau/41 - Bonus Chi.mp4 103.3 MB
6 - Advanced Data Mining With Tableau/40 - Visualising Balance and Estimated Salary distribution.mp4 100.5 MB
22 - ETL Phase 3 Data Wrangling after the load/176 - Converting data on the fly.mp4 98.3 MB
13 - Assessing your model/94 - Applying the model to test data.mp4 88.3 MB
13 - Assessing your model/95 - Comparing training performance and test performance.mp4 87.0 MB
10 - Multiple Linear Regression/64 - Ways to build a model BACKWARD FORWARD STEPWISE.mp4 78.0 MB
20 - Handling errors during ETL Phases 1 & 2/137 - What do you do when your source file is corrupt Part 2.mp4 74.8 MB
12 - Building a robust geodemographic segmentation model/81 - Lets build the model.mp4 74.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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收录时间:2018-03-03
文档个数:287
文档大小:7.2 GB
最近下载:2025-05-16
人气:1550
磁力链接
01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4 3.7 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4 22.2 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4 14.2 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4 30.0 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4 41.2 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4 55.4 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4 53.4 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4 46.8 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4 27.1 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.7 kB
03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html 1.1 kB
04 Simple Linear Regression/017 How to get the dataset.mp4 12.3 MB
04 Simple Linear Regression/018 Dataset Business Problem Description.mp4 8.1 MB
04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4 11.0 MB
04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4 6.3 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Statistics for Data Analysis Using Python
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4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB
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4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB
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4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB
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文档个数:58
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lesson56.mp4 292.4 MB
lesson22.mp4 239.1 MB
lesson15.mp4 211.6 MB
lesson38.mp4 198.4 MB
lesson29.mp4 189.8 MB
lesson25.mp4 186.9 MB
lesson11.mp4 183.8 MB
lesson23.mp4 177.3 MB
lesson37.mp4 176.3 MB
lesson49.mp4 173.6 MB
lesson14.mp4 171.1 MB
lesson16.mp4 163.6 MB
lesson31.mp4 160.1 MB
lesson19.mp4 159.6 MB
lesson26.mp4 159.4 MB
lesson43.mp4 159.2 MB
lesson50.mp4 157.4 MB
lesson27.mp4 157.0 MB
lesson12.mp4 154.1 MB
code.zip 150.1 MB
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收录时间:2021-03-31
文档个数:388
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最近下载:2025-04-28
人气:384
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01 Introducão/Webinar Recrutamento e Seleção.mp4 337.4 MB
07 Big Data Analytics com Aure HDInsight - Parte 2/27 H2OFlow.mp4 84.5 MB
07 Big Data Analytics com Aure HDInsight - Parte 2/26 PySparkling com H2O.mp4 77.0 MB
07 Big Data Analytics com Aure HDInsight - Parte 2/29 Executando Código R Server.mp4 71.2 MB
08 Power BI Avançado DAX - Parte 1/16 Calculate - Parte 2.mp4 69.1 MB
08 Power BI Avançado DAX - Parte 1/14 Funções Iterantes.mp4 64.0 MB
10 Azure Machine Learning Studio/20 Azure Gallery AI - Importando Notebooks e Experimentos.mp4 62.7 MB
03 Azure SQL Data Warehouse - Parte 2/21 SSIS - Parte 3.mp4 58.3 MB
08 Power BI Avançado DAX - Parte 1/09 Tabelas Calculadas.mp4 53.9 MB
07 Big Data Analytics com Aure HDInsight - Parte 2/22 Integração Java com Hive - Parte 2.mp4 53.9 MB
08 Power BI Avançado DAX - Parte 1/06 Importação Dados - Parte 1.mp4 53.7 MB
12 Introdução a Bancos de Dados Relacionais e Linguagem SQL/45 Funções de Manipulação de Data e Hora.mp4 51.3 MB
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