[Udemy] Data Analysis In-Depth (In Python) (10.2021) -移花宫-武林禁地，闲人禁止入内

[Udemy] Data Analysis In-Depth (In Python) (10.2021)

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[Udemy] Data Analysis In-Depth (In Python) (10.2021)

磁力链接/BT种子简介

种子哈希：21dcf66ebfff4d9c6478b5d001c8a815d2491d37
文件大小： 20.71G
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收录时间：2022-03-14
最近下载：2025-09-16

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文件列表

22. Day 20 A - EDA Cont.mp4 1.4 GB
8. Day 8 - Statistics for Data Analysis - Statistical Hypothesis.mp4 1.3 GB
18. Day 17 - Pandas.mp4 1.3 GB
19. Day 18 - Seaborn.mp4 1.2 GB
14. Day 13 - Numpy.mp4 1.2 GB
12. Day 11 - Python for Data Analysis.mp4 1.2 GB
6. Day 6 - Statistics for Data Analysis - Probability.mp4 1.2 GB
5. Day 5 - Statistics for Data Analysis - Probability.mp4 1.2 GB
17. Day 16 - Pandas.mp4 1.2 GB
11. Day 10 - Python for Data Analysis.mp4 1.1 GB
7. Day 7 - Statistics for Data Analysis - Probability.mp4 1.1 GB
4. Day 4 - Statistics for Data Analysis - Probability.mp4 1.1 GB
1. Day 1 - Introduction to Data Science.mp4 931.3 MB
13. Day 12 - Python for Data Analysis.mp4 896.7 MB
15. Day 14 - Pandas.mp4 858.0 MB
2. Day 2 - Introduction to Data Analytics.mp4 852.2 MB
3. Day 3 - Statistics for Data Analysis - Scalar, Vectors and Matrix.mp4 849.2 MB
16. Day 15 - Pandas.mp4 829.1 MB
10. Day 9B - Python for Data Analysis.mp4 822.6 MB
20. Day 19 A - Seaborn.mp4 615.3 MB
21. Day 19 B - EDA.mp4 397.5 MB
9. Day 9A - Statistics for Data Analysis - Statistical Hypothesis.mp4 262.9 MB
23. Day 20 B - What Next.mp4 242.4 MB
3.1 Machine _Learning Day 3.pdf 28.9 MB
8.1 Machine _Learning Day 8.pdf 26.2 MB
4.1 Machine _Learning Day 4.pdf 18.2 MB
6.1 Machine _Learning Day 6.pdf 15.1 MB
7.1 Machine _Learning Day 7.pdf 14.9 MB
1.1 Machine _Learning Day 1.pdf 13.5 MB
5.1 Machine _Learning Day 5.pdf 12.0 MB
2.1 Machine _Learning Day 2.pdf 8.2 MB
10.1 Machine _Learning - 9B.pdf 7.7 MB
9.1 Machine _Learning 9A.pdf 6.2 MB
14.1 Machine _Learning - 13.pdf 4.4 MB
19.2 Machine _Learning - 18.pdf 4.0 MB
15.2 Machine _Learning - 14.pdf 3.5 MB
19.3 Seaborn.ipynb 2.5 MB
12.1 images in pdf.pdf 2.0 MB
21.2 LendingClub.ipynb 1.6 MB
15.1 Machine _Learning - 14 - Practical.pdf 1.3 MB
14.2 Practicals.zip 1.2 MB
18.1 Machine _Learning - 17 - Practical.pdf 1.2 MB
13.1 images in pdf.pdf 1.0 MB
16.1 Machine _Learning - 15 - Practical.pdf 1.0 MB
6.2 Z Table 20210801.pdf 894.5 kB
19.1 Machine _Learning - 18 - Practical.pdf 418.5 kB
17.1 Machine _Learning - 16 - Practical.pdf 358.0 kB
21.3 Machine _Learning - 19 B - Practical.pdf 252.9 kB
22. Day 20 A - EDA Cont.srt 220.5 kB
8. Day 8 - Statistics for Data Analysis - Statistical Hypothesis.srt 215.9 kB
19. Day 18 - Seaborn.srt 207.8 kB
3. Day 3 - Statistics for Data Analysis - Scalar, Vectors and Matrix.srt 202.4 kB
6. Day 6 - Statistics for Data Analysis - Probability.srt 201.6 kB
14. Day 13 - Numpy.srt 201.1 kB
18. Day 17 - Pandas.srt 188.2 kB
17. Day 16 - Pandas.srt 184.8 kB
15. Day 14 - Pandas.srt 178.5 kB
12. Day 11 - Python for Data Analysis.srt 177.8 kB
11. Day 10 - Python for Data Analysis.srt 171.9 kB
13. Day 12 - Python for Data Analysis.srt 169.8 kB
4. Day 4 - Statistics for Data Analysis - Probability.srt 167.3 kB
5. Day 5 - Statistics for Data Analysis - Probability.srt 166.1 kB
1. Day 1 - Introduction to Data Science.srt 164.6 kB
7. Day 7 - Statistics for Data Analysis - Probability.srt 163.5 kB
10. Day 9B - Python for Data Analysis.srt 150.9 kB
2. Day 2 - Introduction to Data Analytics.srt 150.3 kB
16. Day 15 - Pandas.srt 122.8 kB
20. Day 19 A - Seaborn.srt 102.1 kB
15.3 Pandas practicals.zip 72.8 kB
21. Day 19 B - EDA.srt 61.7 kB
9. Day 9A - Statistics for Data Analysis - Statistical Hypothesis.srt 44.6 kB
23. Day 20 B - What Next.srt 35.4 kB
11.1 Python Notebook.zip 34.2 kB
7.2 Reference Links.txt 284 Bytes
21.1 EDA Data .txt 84 Bytes