Udemy - Comprehensive understanding of data analysis and data mining

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[ FreeCourseWeb.com ] Udemy - Comprehensive understanding of data analysis and data mining
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Course Overview
    • 1. Why learn data mining.mp4 (20.5 MB)
    • 1. Why learn data mining.srt (7.5 KB)
    • 2. Course content and catalog.mp4 (12.7 MB)
    • 2. Course content and catalog.srt (4.0 KB)
    2. Basics of Data Analysis
    • 1. The three components of data analysis.mp4 (14.4 MB)
    • 1. The three components of data analysis.srt (2.3 KB)
    • 10. python Get started quickly with python（2）.mp4 (7.0 MB)
    • 10. python Get started quickly with python（2）.srt (5.8 KB)
    • 11. Quickly process data with NumPy(1).mp4 (42.8 MB)
    • 11. Quickly process data with NumPy(1).srt (7.7 KB)
    • 12. Quickly process data with NumPy(2).mp4 (45.8 MB)
    • 12. Quickly process data with NumPy(2).srt (7.2 KB)
    • 13. Several important concepts of data analysis.mp4 (47.0 MB)
    • 13. Several important concepts of data analysis.srt (16.7 KB)
    • 2. data collection.mp4 (1.5 MB)
    • 2. data collection.srt (1.0 KB)
    • 3. Data mining.mp4 (9.5 MB)
    • 3. Data mining.srt (1.7 KB)
    • 4. data visualization.mp4 (10.9 MB)
    • 4. data visualization.srt (2.1 KB)
    • 5. How to learn data analysis and data mining.mp4 (41.7 MB)
    • 5. How to learn data analysis and data mining.srt (6.6 KB)
    • 6. Data mining process.mp4 (31.0 MB)
    • 6. Data mining process.srt (4.5 KB)
    • 7. Classical Algorithm.mp4 (13.9 MB)
    • 7. Classical Algorithm.srt (7.5 KB)
    • 8. Mathematical principles of data mining.mp4 (9.8 MB)
    • 8. Mathematical principles of data mining.srt (4.6 KB)
    • 9. python Get started quickly with python（1）.mp4 (67.5 MB)
    • 9. python Get started quickly with python（1）.srt (10.9 KB)
    3. Practical Skills of Data Analysis
    • 1. How to label, how to make user portraits.mp4 (59.9 MB)
    • 1. How to label, how to make user portraits.srt (10.3 KB)
    • 2. How to automatically collect data.mp4 (71.5 MB)
    • 2. How to automatically collect data.srt (14.5 KB)
    • 3. How to use crawler to automate download.mp4 (7.1 MB)
    • 3. How to use crawler to automate download.srt (5.7 KB)
    • 4. How to perform data cleaning.mp4 (108.8 MB)
    • 4. How to perform data cleaning.srt (15.2 KB)
    • 5. How to perform data integration, the method of data integration.mp4 (63.3 MB)
    • 5. How to perform data integration, the method of data integration.srt (12.3 KB)
    • 6. Several ways of data change.mp4 (55.1 MB)
    • 6. Several ways of data change.srt (13.1 KB)
    4. Data Visualization
    • 1. Classification of data visualization.mp4 (9.0 MB)
    • 1. Classification of data visualization.srt (3.4 KB)
    • 10. Pie chart.mp4 (3.6 MB)
    • 10. Pie chart.srt (1.0 KB)
    • 11. heat map.mp4 (7.3 MB)
    • 11. heat map.srt (1.3 KB)
    • 12. Spider diagram.mp4 (13.7 MB)
    • 12. Spider diagram.srt (2.4 KB)
    • 2. Data visualization tools.mp4 (20.1 MB)
    • 2. Data visualization tools.srt (6.9 KB)
    • 3. python in visualization.mp4 (34.1 MB)
    • 3. python in visualization.srt (5.3 KB)
    • 4. Visual chart classification.mp4 (3.9 MB)
    • 4. Visual chart classification.srt (3.3 KB)
    • 5. Scatter plot.mp4 (16.6 MB)
    • 5. Scatter plot.srt (2.8 KB)
    • 6. line chart.mp4 (4.0 MB)
    • 6. line chart.srt (1.3 KB)
    • 7. Histogram.mp4 (7.2 MB)
    • 7. Histogram.srt (1.7 KB)
    • 8. Bar graph.mp4 (4.3 MB)
    • 8. Bar graph.srt (1.1 KB)
    • 9. Box plot.mp4 (5.0 MB)
    • 9. Box plot.srt (1.0 KB)
    5. Classical Algorithms of Data Analysis
    • 1. Decision algorithm ID3 &C4.5.mp4 (74.0 MB)
    • 1. Decision algorithm ID3 &C4.5.srt (16.3 KB)
    • 2. CART algorithm.mp4 (66.3 MB)
    • 2. CART algorithm.srt (13.5 KB)
    • 3. Bayesian classification (1) gender judgment.mp4 (89.2 MB)
    • 3. Bayesian classification (1) gender judgment.srt (18.7 KB)
    • 4. What is SVM algorithm.mp4 (10.6 MB)
    • 4. What is SVM algorithm.srt (10.3 KB)
    • 5. Getting started with KNN algorithm.mp4 (32.3 MB)
    • 5. Getting started with KNN algorithm.srt (9.0 KB)
    6. ultivate your data analysis thinking
    • 1. What have we talked about about data analysis.mp4 (144.0 MB)
    • 1. What have we talked about about data analysis.srt (19.6 KB)
    • 2. How to develop data thinking.mp4 (15.8 MB)
    • 2. How to develop data thinking.srt (14.6 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Comprehensive understanding of data analysis and data mining



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 40 lectures (3h 14m) | Size: 1 GB
How to conduct data analysis, how to conduct data mining, and establish data analysis thinking
What you'll learn:
what is data collection
what is Data mining
what is data visualization
How to learn data analysis and data mining
Data mining process
Quickly process data with NumPy
Several important concepts of data analysis
How to label, how to make user portraits
How to automatically collect data
How to use crawler to automate download
How to perform data cleaning
How to perform data integration, the method of data integration
python in visualization
Visual chart
Decision algorithm ID3 &C4.5

Requirements
Basic code reading ability
Install python development software

Description
Do you have this question: I also know that the ability to analyze data is very important, but is it difficult to analyze it? How do you learn it? In fact, there are some misunderstandings here. Data analysis is not out of reach. It is not difficult. It is important to master efficient learning methods.

In the final analysis, the core of learning data analysis is to cultivate data thinking, master mining tools, practice proficiently and accumulate experience. In order to bring you a better learning effect, I have designed four modules in the course.



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Udemy - Comprehensive understanding of data analysis and data mining

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Download torrent
1.3 GB
seeders:8
leechers:4
Udemy - Comprehensive understanding of data analysis and data mining

Torrent hash: F53F46757CF37524E39E4E485D8E5C5686E3D3C4