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【压缩文件】 [ DevCourseWeb.com ] Lynda - Data Visualization Storytelling.zip

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[ DevCourseWeb.com ] Lynda - Data Visualization Storytelling.zip 339.5 MB

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【压缩文件】 [ FreeCourseWeb.com ] Data Engineering Nanodegree v1.0.0.zip

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[ FreeCourseWeb.com ] Data Engineering Nanodegree v1.0.0.zip 3.8 GB

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【影视】 Lynda - Crossfilter for Data Science Essential Training [AhLaN]

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5 - 4. Filters/17 - Filtering and statefulness.mp4 32.4 MB
4 - 3. Groups/16 - Making sense of reduce().mp4 30.9 MB
3 - 2. Using Dimensions in Crossfilter/09 - Creating a dimension.mp4 26.6 MB
4 - 3. Groups/12 - Grouping your data with group().mp4 25.1 MB
5 - 4. Filters/18 - Filtering by range.mp4 21.3 MB
3 - 2. Using Dimensions in Crossfilter/08 - Cross-filtering our data.mp4 18.9 MB
5 - 4. Filters/19 - Filtering by function.mp4 16.0 MB
3 - 2. Using Dimensions in Crossfilter/10 - Advanced dimensions.mp4 15.4 MB
5 - 4. Filters/20 - Clearing and obeying filters.mp4 12.6 MB
4 - 3. Groups/14 - Counting rows with reduceCount().mp4 10.7 MB
1 - Introduction/02 - What is Crossfilter.mp4 9.3 MB
2 - 1. Preparing to Use Crossfilter.js/05 - Downloading Crossfilter.js.mp4 8.8 MB
2 - 1. Preparing to Use Crossfilter.js/07 - Seeing cross-filtered data with print_filter.js.mp4 8.7 MB
2 - 1. Preparing to Use Crossfilter.js/06 - Logging dummy data to the console.mp4 8.6 MB
5 - 4. Filters/21 - Removing records matching filters.mp4 8.6 MB
4 - 3. Groups/13 - Using groupAll() on a dimension.mp4 8.1 MB
2 - 1. Preparing to Use Crossfilter.js/04 - Recalling HTML basics.mp4 7.5 MB
4 - 3. Groups/15 - Calculating from data points with reduceSum().mp4 7.4 MB
1 - Introduction/01 - Introduction.mp4 4.4 MB
3 - 2. Using Dimensions in Crossfilter/11 - Why dimensions are expensive.mp4 4.0 MB

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【影视】 Introduction to Machine Learning for Data Science

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Introduction to Machine Learning for Data Science/3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 270.2 MB
Introduction to Machine Learning for Data Science/1. Introduction/5. Secret sauce inside! How to get the most out of this course..mp4 231.6 MB
Introduction to Machine Learning for Data Science/1. Introduction/4. Course Overview.mp4 127.4 MB
Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
Introduction to Machine Learning for Data Science/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
Introduction to Machine Learning for Data Science/13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 100.9 MB
Introduction to Machine Learning for Data Science/9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
Introduction to Machine Learning for Data Science/2. Core Concepts/9. What is Artificial Intelligence (AI).mp4 94.9 MB
Introduction to Machine Learning for Data Science/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
Introduction to Machine Learning for Data Science/2. Core Concepts/3. What's Data I can see data everywhere!.mp4 88.6 MB
Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
Introduction to Machine Learning for Data Science/4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.mp4 82.3 MB
Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
Introduction to Machine Learning for Data Science/4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.mp4 80.9 MB
Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB

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PUBG Mobile (v 0.10.0) Obb Data ZIP Compressed.zip 1.6 GB

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【压缩文件】 Master Linear Algebra for Data Science & Machine Learning DL

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Master Linear Algebra for Data Science & Machine Learning DL.zip 6.9 GB
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【影视】 Mihai Bobonete-Mai incerc o data

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Mihai_Bobonete_-_Mai_încerc_o_dată_(full-show_de_stand_up_la_teatrul_Mihai_Eminescu_-_Timisoara).mp4 348.8 MB

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【影视】 Machine Learning & Data Science A-Z Hands-on Python 2021

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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

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【压缩文件】 Stellar.Data.Recovery.Premium.v8.0-AMPED.rar

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Stellar.Data.Recovery.Premium.v8.0-AMPED.rar 95.2 MB

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【影视】 [VCB-Studio] RDG Red Data Girl [Ma10p_1080p]

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【影视】 [FreeCourseSite.com] Udemy - Python for Finance Investment Fundamentals & Data Analytics

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10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 69.8 MB
3. Python Variables and Data Types/5. Strings.mp4 60.4 MB
2. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 56.4 MB
6. Conditional Statements/4. Else if, for Brief – ELIF.mp4 55.8 MB
8. Python Sequences/7. Dictionaries.mp4 43.8 MB
10. Advanced Python tools/14. Sources of Financial Data.mp4 40.7 MB
7. Python Functions/2. Creating a Function with a Parameter.mp4 40.0 MB
8. Python Sequences/1. Lists.mp4 39.6 MB
8. Python Sequences/3. Using Methods.mp4 39.3 MB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 38.6 MB
9. Using Iterations in Python/8. Iterating over Dictionaries.mp4 31.1 MB
8. Python Sequences/6. Tuples.mp4 30.9 MB
9. Using Iterations in Python/3. While Loops and Incrementing.mp4 29.9 MB
9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.mp4 29.1 MB
3. Python Variables and Data Types/1. Variables.mp4 27.9 MB
9. Using Iterations in Python/4. Create Lists with the range() Function.mp4 27.0 MB
7. Python Functions/3. Another Way to Define a Function.mp4 26.5 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 25.2 MB
9. Using Iterations in Python/1. For Loops.mp4 24.7 MB
6. Conditional Statements/3. Add an ELSE statement.mp4 24.4 MB

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【影视】 [FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis

收录时间:2021-04-15 文档个数:295 文档大小:3.0 GB 最近下载:2025-05-12 人气:4558 磁力链接

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.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

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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

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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/41. Tuning Hyperparameters.mp4 184.3 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)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 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)/9. 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/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. 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)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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【压缩文件】 [ DevCourseWeb.com ] Data Structures and Algorithms in C for Beginners.zip

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【压缩文件】 [ FreeCourseWeb.com ] Web Scraping Market, Financial and Economic Data Using Python 3, REST Web Services, JSON, Pandas and BeautifulSoup.zip

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[ FreeCourseWeb.com ] Web Scraping Market, Financial and Economic Data Using Python 3, REST Web Services, JSON, Pandas and BeautifulSoup.zip 141.5 MB

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【影视】 [DesireCourse.Net] Udemy - Alteryx Data Science for Non-Scientists

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4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/6. Summarize Tool - Basic, Numeric, String, First, Last, Statistics.mp4 215.0 MB
4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/2. Select Tool - All Features Explained Inc Dynamic Fields.mp4 192.0 MB
4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/4. Basic Filtering - Strings, Numbers and Dates. Filter in Serial.mp4 169.2 MB
2. Welcome to the Accelerator Program!/2. Input, Analysis and Output - The three parts of every analysis!.mp4 129.5 MB
4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/5. Data Cleansing Tool - All options.mp4 117.3 MB
3. Beginner - How to InputUpload Different Data Types/2. How to Read CSV files and the many options available.mp4 117.2 MB
3. Beginner - How to InputUpload Different Data Types/1. Course Structure Moving Forward.mp4 91.1 MB
2. Welcome to the Accelerator Program!/3. Help Function and Basic Filtering.mp4 90.8 MB
4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/3. Sorting Tool and Comparison to Browse Tool.mp4 90.7 MB
2. Welcome to the Accelerator Program!/8. Text to Columns or Rows - 2 Methods.mp4 83.6 MB
3. Beginner - How to InputUpload Different Data Types/6. Import Multiple Sheets Manually or Using the Dynamic Input.mp4 79.9 MB
1. Introduction - Welcome to Alteryx!!! Oh yeah!/2. A VERY Quick Demo of Alteryx.mp4 77.8 MB
2. Welcome to the Accelerator Program!/4. Formulas, Sampling and Sorting.mp4 74.1 MB
1. Introduction - Welcome to Alteryx!!! Oh yeah!/1. What is Alteryx.mp4 68.0 MB
3. Beginner - How to InputUpload Different Data Types/4. Importing Txt Files with Tab Delimited and Fixed Width. + Dynamic Rename.mp4 59.7 MB
3. Beginner - How to InputUpload Different Data Types/7. How to Import Multiple Excel Files using a Wildcard.mp4 46.0 MB
2. Welcome to the Accelerator Program!/7. Unioning Data and 3 Methods to Do It.mp4 42.7 MB
2. Welcome to the Accelerator Program!/5. Summarize Tool for Aggregates.mp4 41.7 MB
3. Beginner - How to InputUpload Different Data Types/3. How to Upload an Access Database and all the different Options.mp4 40.6 MB
2. Welcome to the Accelerator Program!/6. Find and Replace Function.mp4 38.0 MB

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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 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!/7. Updates on Udemy Reviews.vtt 55.5 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/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
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