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- 【影视】 [Skillbox] Профессия Data Scientist (2020)
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收录时间:2021-05-05
文档个数:1031
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11 Программа трудоустройства/Урок 2.mp4 621.0 MB
12 Универсальные знания программиста/09/Урок 1.mp4 543.9 MB
5 Data Scientist. Аналитика. Средний уровень/05/Урок 2.mp4 498.2 MB
7 Дополнительные материалы по анализу данных и ML/01/Урок 4.mp4 464.1 MB
12 Универсальные знания программиста/07/Урок 1.mp4 460.0 MB
12 Универсальные знания программиста/03/Урок 1.mp4 452.5 MB
12 Универсальные знания программиста/06/Урок 1.mp4 380.1 MB
8 Защита дипломных проектов/02/Урок 2.mp4 371.1 MB
12 Универсальные знания программиста/02/Урок 1.mp4 370.3 MB
8 Защита дипломных проектов/01/Урок 1.mp4 365.8 MB
1 Data Scientist. ML. Начальный уровень/07/Урок 4.mp4 360.7 MB
12 Универсальные знания программиста/01/Урок 1.mp4 357.1 MB
12 Универсальные знания программиста/04/Урок 1.mp4 349.9 MB
12 Универсальные знания программиста/05/Урок 1.mp4 347.5 MB
12 Универсальные знания программиста/08/Урок 1.mp4 340.4 MB
1 Data Scientist. ML. Начальный уровень/05/Урок 1.mp4 331.7 MB
1 Data Scientist. ML. Начальный уровень/03/Урок 10.mp4 330.9 MB
1 Data Scientist. ML. Начальный уровень/04/Урок 04.mp4 312.8 MB
7 Дополнительные материалы по анализу данных и ML/01/Урок 6.mp4 309.8 MB
5 Data Scientist. Аналитика. Средний уровень/05/Урок 1.mp4 302.4 MB
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- 【影视】 Mistakes to Avoid in Data Science
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收录时间:2021-05-05
文档个数:36
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02 Mistakes to Avoid/015 Not confirming with stakeholders.mp4 39.6 MB
02 Mistakes to Avoid/014 Not telling a story with the data.mp4 38.5 MB
02 Mistakes to Avoid/007 Lack of documentation.mp4 30.9 MB
02 Mistakes to Avoid/008 Relying solely on formal education.mp4 28.6 MB
02 Mistakes to Avoid/006 Not considering the level of variation.mp4 26.9 MB
02 Mistakes to Avoid/005 Failing to adopt new tools.mp4 25.8 MB
02 Mistakes to Avoid/009 Taking too long to share results.mp4 24.2 MB
02 Mistakes to Avoid/002 Skipping the fundamentals.mp4 22.5 MB
02 Mistakes to Avoid/011 Overpromising solutions to stakeholders.mp4 22.4 MB
02 Mistakes to Avoid/010 Including your bias.mp4 20.9 MB
02 Mistakes to Avoid/012 Building tools from scratch.mp4 20.8 MB
02 Mistakes to Avoid/001 Communicating with overly technical language.mp4 20.7 MB
02 Mistakes to Avoid/004 Having a data set that is too small.mp4 20.3 MB
02 Mistakes to Avoid/003 Moving too quickly.mp4 19.6 MB
02 Mistakes to Avoid/013 Assuming the knowledge level of stakeholders.mp4 14.3 MB
01 Introduction/001 Avoid common mistakes to excel in data science.mp4 8.0 MB
03 Conclusion/001 Get started on the right path.mp4 3.1 MB
02 Mistakes to Avoid/014 Not telling a story with the data-en.srt 4.0 kB
02 Mistakes to Avoid/015 Not confirming with stakeholders-en.srt 3.4 kB
02 Mistakes to Avoid/008 Relying solely on formal education-en.srt 3.3 kB
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- 【影视】 [FreeCoursesOnline.Me] Linkedin - Python - Data Analysis
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收录时间:2021-05-05
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01-Welcome.mp4 24.2 MB
22-Temperature analysis.mp4 20.9 MB
30-DataFrames in Pandas.mp4 17.1 MB
07-Using Python lists and the slicing syntax.mp4 16.4 MB
35-Name popularity.mp4 16.0 MB
37-Name fads.mp4 15.8 MB
12-Finding anagrams.mp4 14.1 MB
21-Downloading and parsing data files.mp4 13.3 MB
24-Smoothing data.mp4 13.3 MB
18-Indexing and slicing.mp4 13.2 MB
09-Comprehensions.mp4 13.2 MB
36-A yearly top ten.mp4 12.4 MB
23-Integrating missing data.mp4 12.3 MB
17-Doing math with arrays.mp4 12.1 MB
31-Using multilevel indices.mp4 11.9 MB
19-Records and dates.mp4 11.8 MB
25-Computing daily records.mp4 11.6 MB
16-Creating NumPy arrays.mp4 11.3 MB
11-Loading the dictionary.mp4 10.9 MB
08-Using Python dictionaries.mp4 10.8 MB
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FreeCoursesOnline
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- 【影视】 Preprocessing Data with NumPy
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收录时间:2021-05-03
文档个数:246
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人气:2086
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[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/11. Stacking Arrays.mp4 78.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/1. Importing Data with Numpy - np.loadtxtx() vs np.genfromtxt().mp4 76.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/7. Argument Functions - Part 1 Argument Where.mp4 69.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/5. Sorting Arrays.mp4 62.4 MB
[TutsNode.com] - Preprocessing Data with NumPy/1. Introduction to NumPy/1. What Does the Course Cover.mp4 61.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/2. Importing Data with NumPy - Simple Cleaning when Importing.mp4 60.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/15. Completing the Dataset.mp4 57.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/14. Manipulating Numeric Data Currency Change - From USD to EUR.mp4 55.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/4. Working with Arrays/1. Basic Slicing.mp4 54.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/1. Setting Up Introduction to the Practical Example.mp4 54.7 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/1. Checking for Missing Values.mp4 54.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/8. Manipulating Text Data Grade and Sub Grade.mp4 53.9 MB
[TutsNode.com] - Preprocessing Data with NumPy/2. Why Do We Use NumPy/3. ndarrays.mp4 52.5 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/10. Manipulating Text Data State Address.mp4 52.0 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/12. Concatenating Arrays.mp4 50.1 MB
[TutsNode.com] - Preprocessing Data with NumPy/9. A NumPy Practical Example/12. Manipulating Numeric Data Substitute Filler Values.mp4 48.6 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/9. Casting Arrays.mp4 47.8 MB
[TutsNode.com] - Preprocessing Data with NumPy/8. Manipulation Data with NumPy/3. Reshaping Arrays.mp4 47.3 MB
[TutsNode.com] - Preprocessing Data with NumPy/7. Statistics with NumPy/1. Using NumPy Statistical Functions.mp4 46.2 MB
[TutsNode.com] - Preprocessing Data with NumPy/6. Importing and Saving Data/3. Importing Data with NumPy - String vs Object vs Numbers.mp4 45.9 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Microsoft Excel - Data Analysis with Excel Pivot Tables
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收录时间:2021-05-03
文档个数:95
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07-pivottable-case-studies/075-san-diego-burrito-ratings.mp4 66.5 MB
07-pivottable-case-studies/071-stock-market-data.mp4 57.2 MB
07-pivottable-case-studies/067-san-francisco-salaries.mp4 56.7 MB
07-pivottable-case-studies/079-spartan-race-facebook-posts.mp4 54.3 MB
07-pivottable-case-studies/073-baseball-team-stats.mp4 48.4 MB
07-pivottable-case-studies/077-daily-weather-conditions.mp4 44.9 MB
02-pivottable-101/013-pro-tip-dealing-with-growing-source-data.mp4 43.6 MB
07-pivottable-case-studies/065-u.s.-voters-2012.mp4 39.4 MB
02-pivottable-101/012-refreshing-updating-pivots.mp4 39.4 MB
06-pivotcharts/062-building-a-dynamic-dashboard.mp4 37.5 MB
07-pivottable-case-studies/069-shark-attack-records.mp4 32.3 MB
04-sorting-filtering-grouping/026-label-filters-manual-selections.mp4 31.7 MB
05-calculated-values-fields-items/043-show-values-as-index.mp4 30.3 MB
03-pivottable-formatting/021-conditional-formatting.mp4 27.8 MB
05-calculated-values-fields-items/047-pro-tip-calculating-using-counts.mp4 23.8 MB
05-calculated-values-fields-items/045-inserting-calculated-fields.mp4 22.2 MB
02-pivottable-101/008-navigating-the-field-list.mp4 21.7 MB
06-pivotcharts/058-pivotchart-demo-stacked-area-chart.mp4 19.0 MB
03-pivottable-formatting/018-table-layouts-styles.mp4 18.3 MB
04-sorting-filtering-grouping/024-sorting-options.mp4 17.6 MB
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- 【影视】 Regression, Data Mining, Text Mining, Forecasting using R [UDEMY]
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收录时间:2021-05-03
文档个数:271
文档大小:4.5 GB
最近下载:2025-05-14
人气:160
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15-forecasting-data-driven-approaches/164-forecasting-autocorrelation-model.mp4 86.1 MB
15-forecasting-data-driven-approaches/170-forecast-seasonal-indexescentered-moving-average-hands-on.mp4 66.2 MB
14-forecasting-model-based-approaches/161-forecasting-methods-additive-seasonality-with-trendmultiplicative-seasonality.mp4 65.4 MB
12-text-mining-using-r/141-corpus-level-word-cloud.mp4 62.3 MB
13-forecasting-using-xl-miner/147-forecasting-introduction-and-agenda-for-introduction.mp4 62.2 MB
14-forecasting-model-based-approaches/160-forecasting-methodsexponential-quadratic-and-additive-seasonality-models.mp4 62.1 MB
13-forecasting-using-xl-miner/155-exploratory-data-analysis-using-walmart-footfalls-example-part1.mp4 61.7 MB
13-forecasting-using-xl-miner/152-forecastingdata-exploration-visualization.mp4 51.5 MB
02-basic-statistics/017-data-visualization-using-rbarplothistogramskewness.mp4 51.3 MB
06-basics-of-rprogramming/063-r-programming-case-study-part-3.mp4 49.7 MB
01-introduction-to-data-science/003-big-data-and-getting-drenched-in-data.mp4 47.8 MB
07-predictive-analytics/084-understanding-logistic-regression-concepts.mp4 47.3 MB
12-text-mining-using-r/142-brief-case-study-on-real-project-part-1.mp4 47.0 MB
07-predictive-analytics/075-simple-linear-regression-using-r-part-1.mp4 46.3 MB
12-text-mining-using-r/143-brief-case-study-on-real-project-part-2.mp4 45.7 MB
14-forecasting-model-based-approaches/159-forecasting-methodslinear-model.mp4 44.6 MB
06-basics-of-rprogramming/067-case-study-on-data-visualization-using-r-part-1.mp4 44.3 MB
09-dimension-reduction/119-pca-preliminaries-and-weights.mp4 42.7 MB
07-predictive-analytics/085-logistic-regression-part-1.mp4 42.6 MB
06-basics-of-rprogramming/066-r-programming-case-study-using-inbuilt-datasets.mp4 42.3 MB
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- 【影视】 Data Science using Machine Learning Algorithm with Big Data
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收录时间:2021-05-03
文档个数:227
文档大小:5.6 GB
最近下载:2025-05-15
人气:3548
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[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB
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- 【影视】 [DesireCourse.Net] Udemy - Applied Statistical Modeling for Data Analysis in R
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收录时间:2021-05-02
文档个数:185
文档大小:1.4 GB
最近下载:2025-05-16
人气:579
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2. Section 2 The Essentials of the R Programming Language/7. Exploratory Data Analysis in R.mp4 50.6 MB
6. Relationship Between Two Different Quantitative Variables/2. Correlation.mp4 45.5 MB
2. Section 2 The Essentials of the R Programming Language/4. Reading in Data from Different Sources.mp4 44.7 MB
2. Section 2 The Essentials of the R Programming Language/6. Data Cleaning Removing Missing Values.mp4 42.5 MB
7. Other Types of Regression/7. Logistic Regression in R.mp4 41.0 MB
6. Relationship Between Two Different Quantitative Variables/6. Dealing with Multi-collinearity.mp4 40.0 MB
7. Other Types of Regression/2. Other Regression Techniques When Conditions of OLS Are Not Met.mp4 39.9 MB
7. Other Types of Regression/5. Linear Mixed Effect Models.mp4 39.5 MB
6. Relationship Between Two Different Quantitative Variables/9. Linear Regression With Categorical Variables and Interaction Terms.mp4 39.4 MB
3. Statistical Tools to Learn More About Your Data/5. Charting & Graphing Discrete Data.mp4 38.1 MB
8. Multivariate Analysis/2. Cluster AnalysisUnsupervised Learning.mp4 36.6 MB
6. Relationship Between Two Different Quantitative Variables/4. Linear Regression-Implementation in R.mp4 35.2 MB
6. Relationship Between Two Different Quantitative Variables/11. Selecting the Most Suitable Regression Model.mp4 34.9 MB
6. Relationship Between Two Different Quantitative Variables/7. What More Does the Regression Model Tell Us.mp4 33.7 MB
2. Section 2 The Essentials of the R Programming Language/3. Different Data Structures in R.mp4 32.0 MB
6. Relationship Between Two Different Quantitative Variables/5. The Conditions of Linear Regression.mp4 32.0 MB
8. Multivariate Analysis/4. Linear Discriminant Analysis (LDA).mp4 31.6 MB
9. Miscellaneous Lectures & Information/2. Read in Data from Online HTML Tables-Part 2.mp4 31.5 MB
8. Multivariate Analysis/3. Principal Component Analysis (PCA).mp4 31.2 MB
7. Other Types of Regression/1. Violation of Linear Regression Conditions Transform Variables.mp4 30.4 MB
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- 【影视】 [FreeCourseLab.me] Udemy - AWS Certified Data Analytics Specialty 2020 (ex Big Data)
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收录时间:2021-05-02
文档个数:296
文档大小:5.7 GB
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人气:256
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4. Domain 3 Processing/27. [Exercise] Elastic MapReduce, Part 2.mp4 116.7 MB
4. Domain 3 Processing/26. [Exercise] Elastic MapReduce, Part 1.mp4 103.8 MB
1. Introduction/3. About the Upcoming AWS Certified Data Analytics Exam....mp4 100.5 MB
6. Domain 4 Analysis/5. [Exercise] Kinesis Analytics, Part 2.mp4 97.3 MB
6. Domain 4 Analysis/9. [Exercise] Amazon Elasticsearch Service, Part 1.mp4 94.8 MB
5. Machine Learning AWS Certified Big Data exam only!/6. Deep Learning 101.mp4 90.6 MB
5. Machine Learning AWS Certified Big Data exam only!/8. [Exercise] Amazon Machine Learning, Part 1.mp4 90.0 MB
6. Domain 4 Analysis/4. [Exercise] Kinesis Analytics, Part 1.mp4 89.9 MB
6. Domain 4 Analysis/10. [Exercise] Amazon Elasticsearch Service, Part 2.mp4 86.0 MB
4. Domain 3 Processing/6. [Exercise] AWS Lambda.mp4 79.7 MB
6. Domain 4 Analysis/15. [Exercise] AWS Glue and Athena.mp4 78.4 MB
7. Domain 5 Visualization/5. [Exercise] Amazon Quicksight.mp4 78.4 MB
2. Domain 1 Collection/11. [Exercise] Kinesis Firehose, Part 3.mp4 77.7 MB
3. Domain 2 Storage/22. [Exercise] DynamoDB.mp4 74.9 MB
6. Domain 4 Analysis/23. Redshift Integration WLM Vacuum Anti-Patterns.mp4 74.7 MB
2. Domain 1 Collection/10. [Exercise] Kinesis Firehose, Part 2.mp4 74.2 MB
8. Domain 6 Security/9. Identity Federation.mp4 68.7 MB
7. Domain 5 Visualization/4. Choosing Visualization Types.mp4 68.4 MB
5. Machine Learning AWS Certified Big Data exam only!/9. [Exercise] Amazon Machine Learning, Part 2.mp4 67.4 MB
2. Domain 1 Collection/16. IoT Overview.mp4 65.4 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Simulate, understand, & visualize data like a data scientist
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收录时间:2021-05-02
文档个数:101
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9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4 35.4 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4 32.9 MB
4. Time series signals/3. Smooth transients.mp4 20.8 MB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4 19.3 MB
4. Time series signals/6. Dipolar and multipolar chirps.mp4 16.2 MB
3. Data distributions/2. Normal and uniform distributions.mp4 15.3 MB
5. Time series noise/5. Multivariable correlated noise.mp4 13.9 MB
3. Data distributions/4. Poisson distribution.mp4 13.4 MB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp4 12.9 MB
5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4 12.7 MB
1. Introductions/4. The importance of visualization.mp4 12.0 MB
8. Data clustering in space/2. Clusters in 2D.mp4 11.5 MB
3. Data distributions/3. QQ plot.mp4 11.4 MB
3. Data distributions/7. Cohen's d for separating distributions.mp4 11.2 MB
7. Image noise/4. Perlin noise in 2D.mp4 10.4 MB
5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4 10.1 MB
6. Image signals/3. Sine patches and Gabor patches.mp4 9.6 MB
8. Data clustering in space/3. Clusters in N-D.mp4 9.4 MB
1. Introductions/2. Why and how to simulate data.mp4 9.3 MB
4. Time series signals/2. Sharp transients.mp4 9.3 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Tableau 20 Advanced Training Master Tableau in Data Science
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收录时间:2021-05-02
文档个数:151
文档大小:5.1 GB
最近下载:2025-02-20
人气:479
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3. Advanced Table Calculations/11. Trendlines for Power-Insights.mp4 157.1 MB
6. Level Of Detail Calculations (LOD)/8. LOD Type 2 EXCLUDE (Part 1).mp4 149.3 MB
6. Level Of Detail Calculations (LOD)/9. LOD Type 2 EXCLUDE (Part 2).mp4 145.3 MB
4. Advanced Data Prep + Analytics In Tableau/5. Working with Large Data Sources.mp4 144.7 MB
3. Advanced Table Calculations/8. Writing your own Table Calculations.mp4 144.4 MB
3. Advanced Table Calculations/10. Quality Assurance For Table Calculations.mp4 143.2 MB
6. Level Of Detail Calculations (LOD)/6. LOD Type 1 INCLUDE.mp4 142.3 MB
7. Advanced Mapping Techniques/8. Customizing maps with Mapbox.mp4 141.6 MB
2. Groups and Sets/10. Dashboard Tricks.mp4 141.5 MB
3. Advanced Table Calculations/12. Creating a Storyline.mp4 129.7 MB
3. Advanced Table Calculations/7. Specifying Direction of Computation.mp4 119.4 MB
6. Level Of Detail Calculations (LOD)/11. LOD Type 3 FIXED.mp4 115.2 MB
4. Advanced Data Prep + Analytics In Tableau/11. Advanced Timeseries Blending.mp4 114.3 MB
4. Advanced Data Prep + Analytics In Tableau/7. What Does Real World Retail Look Like.mp4 112.1 MB
6. Level Of Detail Calculations (LOD)/5. LOD Calculations Intuition.mp4 109.8 MB
3. Advanced Table Calculations/5. Creating Advanced Table Calculations.mp4 99.8 MB
3. Advanced Table Calculations/6. Saving a Quick Table Calculation.mp4 99.5 MB
2. Groups and Sets/9. Dashboard The Startup Quadrant.mp4 93.9 MB
3. Advanced Table Calculations/9. Adding a Second Layer Moving Average.mp4 90.7 MB
4. Advanced Data Prep + Analytics In Tableau/13. Forecasting in Tableau.mp4 88.2 MB
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- 【影视】 Lynda - Github For Data Scientists
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06. Common GitHub Resources/18. Incorporating user interfaces.mp4 69.3 MB
04. Creating a GitHub Portfolio/14. Creating a powerful data science portfolio.mp4 66.6 MB
04. Creating a GitHub Portfolio/13. The value of a GitHub portfolio.mp4 65.1 MB
02. GitHub Foundations/04. Common GitHub terminology.mp4 59.9 MB
02. GitHub Foundations/05. Using GitHub for collaboration.mp4 52.4 MB
02. GitHub Foundations/06. Accessing learning resources.mp4 49.1 MB
05. Community Building/16. Contributing to open source repositories.mp4 45.4 MB
02. GitHub Foundations/02. What is GitHub.mp4 43.4 MB
05. Community Building/15. Finding collaborators to follow.mp4 40.7 MB
02. GitHub Foundations/03. How does GitHub work.mp4 39.8 MB
06. Common GitHub Resources/17. Where to find answers.mp4 38.0 MB
01. Introduction/01. Collaboration is the key to data science.mp4 34.8 MB
03. Using Repositories in GitHub/12. Resolving common merge issues.mp4 26.1 MB
07. Conclusion/19. Moving beyond the basics of GitHub.mp4 21.0 MB
03. Using Repositories in GitHub/11. Pull requests in GitHub.mp4 20.5 MB
03. Using Repositories in GitHub/07. Creating a repository in GitHub.mp4 19.0 MB
03. Using Repositories in GitHub/10. Commit in GitHub.mp4 14.3 MB
03. Using Repositories in GitHub/09. Branching in GitHub.mp4 13.9 MB
03. Using Repositories in GitHub/08. Cloning a repository in GitHub.mp4 11.7 MB
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7. Regression/1. THEORY Single OLS regression.mp4 186.8 MB
5. Standard deviation/1. THEORY Standard deviation Part 1.mp4 179.9 MB
7. Regression/5. THEORY Multiple OLS regression part 1.mp4 176.0 MB
7. Regression/8. EXERCISE Multiple OLS regression.mp4 153.5 MB
5. Standard deviation/2. THEORY Standard deviation Part 2.mp4 146.0 MB
7. Regression/7. Multiple OLS regression.mp4 140.0 MB
7. Regression/4. Single non-linear regression.mp4 132.1 MB
6. Correlation/1. THEORY Correlation.mp4 126.8 MB
1. Basics of MS Excel/15. Nested IF function.mp4 110.2 MB
3. Graphs/1. Choosing the right type of chart.mp4 109.1 MB
1. Basics of MS Excel/17. Combining IF & AND functions.mp4 108.4 MB
1. Basics of MS Excel/16. EXERCISE Nested IF functions.mp4 104.9 MB
4. Measurement scales/1. Measurement scales.mp4 103.1 MB
3. Graphs/8. EXERCISE Chart building.mp4 77.8 MB
1. Basics of MS Excel/5. Locking cells + dropdown menu.mp4 75.7 MB
3. Graphs/3. Logarithmic scale.mp4 72.5 MB
7. Regression/6. THEORY Multiple OLS regression part 2.mp4 68.1 MB
6. Correlation/3. Correlation part 2.mp4 64.1 MB
3. Graphs/4. Pareto chart.mp4 61.8 MB
7. Regression/2. Single OLS regression.mp4 60.6 MB
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[TutsNode.com] - Data Structures and Algorithms for Beginners/2. Recursion and Big O/1. What is Recursion.mp4 47.4 MB
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[TutsNode.com] - Data Structures and Algorithms for Beginners/3. Data Structures/1. Arrays.mp4 35.1 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/4. Graph Representation.mp4 31.7 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/5. Breadth First Search.mp4 31.6 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/6. Depth First Search.mp4 29.2 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/1. Intorduction/3. Why are Data Structures and Algorithms important.mp4 27.0 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/1. What is a Graph.mp4 26.1 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/2. Graph Terminology.mp4 25.4 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/3. Data Structures/5. Hash Tables.mp4 22.4 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/1. Intorduction/2. What is an algorithm.mp4 22.1 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/3. Types of Graph.mp4 19.5 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/1. Intorduction/1. What are data Structures.mp4 19.1 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/2. Recursion and Big O/3. Big O.mp4 16.8 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/4. Sort Algorithms/5. Quick Sort.mp4 16.6 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/7. Graph Algorithms/8. Dijkstra's Algorithm.mp4 16.3 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/3. Data Structures/7. Binary Search Trees.mp4 15.2 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/5. Clustering Algorithms/1. K-means.mp4 14.4 MB
[TutsNode.com] - Data Structures and Algorithms for Beginners/4. Sort Algorithms/1. Bubble Sort.mp4 13.5 MB
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17 - Lambda/1-Lambda Overview and Processing.mp4 217.4 MB
18 - AWS Data Pipeline/1-AWS Data Pipeline.mp4 202.7 MB
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6 - Kinesis/5-Kinesis Data Firehose Destinations and Creating an Example Delivery Stream.mp4 178.5 MB
4 - AWS IoT/5-IoT Message Broker.mp4 163.3 MB
2 - Getting Started/1-Course Introduction.mp4 159.2 MB
24 - Redshift/1-Introduction to Amazon Redshift.mp4 159.0 MB
25 - Kinesis Analytics/1-Kinesis Analytics Overview.mp4 155.1 MB
24 - Redshift/2-Redshift Cluster Configuration.mp4 154.3 MB
22 - Elasticsearch/4-Elasticsearch, Kibana, and AWS Lambda.mp4 150.9 MB
22 - Elasticsearch/2-Elasticsearch Clusters and Access Policies.mp4 146.0 MB
15 - Amazon Machine Learning (AML)/3-Training Machine Learning Models.mp4 137.7 MB
5 - AWS Greengrass/1-Greengrass Overview.mp4 126.8 MB
7 - AWS Direct Connect/1-AWS Direct Connect Essentials.mp4 126.0 MB
14 - Amazon Elastic MapReduce (EMR)/2-Configuring and Launching an EMR Cluster.mp4 123.0 MB
11 - Amazon S3/4-S3 Permissions.mp4 119.0 MB
14 - Amazon Elastic MapReduce (EMR)/1-EMR Overview.mp4 118.5 MB
14 - Amazon Elastic MapReduce (EMR)/4-Working with PySpark and S3.mp4 117.6 MB
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Chapter 3 - Working with Arrays/008-Searching Arrays to Evaluate Grade Ranges-git.ir.mp4 53.6 MB
Chapter 7 - Hash Maps/024-Searching Hash Maps to Determine Index Values-git.ir.mp4 38.2 MB
Chapter 2 - Creating Efficiency with Strings/004-Searching Strings in Large Documents-git.ir.mp4 36.0 MB
Chapter 3 - Working with Arrays/009-Sorting Arrays to Optimize Performance-git.ir.mp4 31.7 MB
Chapter 4 - Using Linked Lists/012-Searching Linked Lists for Matching Criteria-git.ir.mp4 30.7 MB
Chapter 9 - Advanced Topics/031-Recursion to Implement a Fibonacci Function-git.ir.mp4 29.4 MB
Chapter 3 - Working with Arrays/007-Using the Array Data Structure to Track Student Grades-git.ir.mp4 27.7 MB
Chapter 2 - Creating Efficiency with Strings/005-Sorting Strings to Organize Output-git.ir.mp4 25.5 MB
Chapter 5 - Sorting Stacks and Queues/015-Using Stacks and Queues Data Structure to Demonstrate LIFO and FIFO Principles-git.ir.mp4 24.5 MB
Chapter 6 - Implementing Trees/020-Inserting and Deleting Tree Nodes-git.ir.mp4 23.1 MB
Chapter 4 - Using Linked Lists/011-Using the Linked List Data Structure to Create a Repository-git.ir.mp4 20.5 MB
Chapter 8 - Graphs/027-Using the Graph Data Structure to Store Relationships-git.ir.mp4 19.5 MB
Chapter 5 - Sorting Stacks and Queues/016-Searching Stacks and Queues to Determine the Next Appropriate Data for Processing-git.ir.mp4 18.9 MB
Chapter 4 - Using Linked Lists/013-Sorting Linked Lists to Optimize Performance-git.ir.mp4 18.2 MB
Chapter 5 - Sorting Stacks and Queues/017-Sorting Stacks and Queues to Optimize Performance-git.ir.mp4 16.9 MB
Chapter 8 - Graphs/028-Traversing Graphs to Determine Relationships-git.ir.mp4 16.8 MB
Chapter 2 - Creating Efficiency with Strings/003-Using String Data Structures for Word Processing-git.ir.mp4 13.9 MB
Chapter 7 - Hash Maps/023-Using the Hash Map Data Structure to Demonstrate Key Value Pairs-git.ir.mp4 13.8 MB
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26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.1 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
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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)/8. SSIS Error Data truncation.mp4 182.0 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 146.6 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 141.9 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 131.1 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 130.7 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 128.0 MB
26. Presenting for Data Scientists/7. How to present to executives.mp4 124.4 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 122.2 MB
27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 120.7 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
14. Drawing insights from your model/2. Power insights from your CAP.mp4 116.2 MB
6. Advanced Data Mining With Tableau/8. Bonus Chi-Squared Test (Stats Tutorial).mp4 112.3 MB
13. Assessing your model/9. Comparing training performance and test performance.mp4 109.5 MB
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3. Advanced Table Calculations/11. Trendlines for Power-Insights.mp4 157.1 MB
6. Level Of Detail Calculations (LOD)/8. LOD Type 2 EXCLUDE (Part 1).mp4 149.3 MB
6. Level Of Detail Calculations (LOD)/9. LOD Type 2 EXCLUDE (Part 2).mp4 145.3 MB
4. Advanced Data Prep + Analytics In Tableau/5. Working with Large Data Sources.mp4 144.7 MB
3. Advanced Table Calculations/8. Writing your own Table Calculations.mp4 144.4 MB
3. Advanced Table Calculations/10. Quality Assurance For Table Calculations.mp4 143.2 MB
6. Level Of Detail Calculations (LOD)/6. LOD Type 1 INCLUDE.mp4 142.3 MB
7. Advanced Mapping Techniques/8. Customizing maps with Mapbox.mp4 141.6 MB
2. Groups and Sets/10. Dashboard Tricks.mp4 141.5 MB
3. Advanced Table Calculations/12. Creating a Storyline.mp4 129.7 MB
3. Advanced Table Calculations/7. Specifying Direction of Computation.mp4 119.4 MB
6. Level Of Detail Calculations (LOD)/11. LOD Type 3 FIXED.mp4 115.2 MB
4. Advanced Data Prep + Analytics In Tableau/11. Advanced Timeseries Blending.mp4 114.3 MB
4. Advanced Data Prep + Analytics In Tableau/7. What Does Real World Retail Look Like.mp4 112.1 MB
6. Level Of Detail Calculations (LOD)/5. LOD Calculations Intuition.mp4 109.8 MB
3. Advanced Table Calculations/5. Creating Advanced Table Calculations.mp4 99.8 MB
3. Advanced Table Calculations/6. Saving a Quick Table Calculation.mp4 99.5 MB
2. Groups and Sets/9. Dashboard The Startup Quadrant.mp4 93.9 MB
3. Advanced Table Calculations/9. Adding a Second Layer Moving Average.mp4 90.7 MB
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