Complete Data Science Training with Python for Data Analysis


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Complete Data Science Training with Python for Data Analysis
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Torrent File Content (253 files)


[FTUForum.com] [UDEMY] Complete Data Science Training with Python for Data Analysis [FTU]
    0. Websites you may like
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163 bytes

          4. (FTUApps.com) Download Cracked Developers Applications For Free.url -
239 bytes

          5. (Discuss.FTUForum.com) FTU Discussion Forum.url -
294 bytes

          How you can help Team-FTU.txt -
237 bytes

    1. Introduction to the Data Science in Python Bootcamp
          1. What is Data Science.mp4 -
17.39 MB

          1. What is Data Science.vtt -
3.97 KB

          2. Introduction to the Course Instructor.m4v -
55.61 MB

          2. Introduction to the Course Instructor.vtt -
13.5 KB

          3. Data For the Course.html -
98 bytes

          3.1 scriptsLecture.zip.zip -
308.04 MB

          4. Introduction to the Python Data Science Tool.mp4 -
25.02 MB

          4. Introduction to the Python Data Science Tool.vtt -
10.12 KB

          5. For Mac Users.mp4 -
10.22 MB

          5. For Mac Users.vtt -
3.88 KB

          6. Introduction to the Python Data Science Environment.mp4 -
40.32 MB

          6. Introduction to the Python Data Science Environment.vtt -
17.22 KB

          7. Some Miscellaneous IPython Usage Facts.mp4 -
12.01 MB

          7. Some Miscellaneous IPython Usage Facts.vtt -
4.54 KB

          8. Online iPython Interpreter.mp4 -
7.73 MB

          8. Online iPython Interpreter.vtt -
3.43 KB

          9. Conclusion to Section 1.mp4 -
6.48 MB

          9. Conclusion to Section 1.vtt -
3.06 KB

    10. Unsupervised Learning in Python
          1. Unsupervised Classification- Some Basic Ideas.mp4 -
6.17 MB

          1. Unsupervised Classification- Some Basic Ideas.vtt -
1.81 KB

          10. Principal Component Analysis (PCA)-Practical Implementation.mp4 -
9.06 MB

          10. Principal Component Analysis (PCA)-Practical Implementation.vtt -
4.15 KB

          11. Conclusions to Section 10.mp4 -
5.49 MB

          11. Conclusions to Section 10.vtt -
2.48 KB

          2. KMeans-theory.mp4 -
5.15 MB

          2. KMeans-theory.vtt -
2.5 KB

          3. KMeans-implementation on the iris data.mp4 -
19.54 MB

          3. KMeans-implementation on the iris data.vtt -
7.61 KB

          4. Quantifying KMeans Clustering Performance.mp4 -
9.57 MB

          4. Quantifying KMeans Clustering Performance.vtt -
4.41 KB

          5. KMeans Clustering with Real Data.mp4 -
12.08 MB

          5. KMeans Clustering with Real Data.vtt -
4.49 KB

          6. How Do We Select the Number of Clusters.mp4 -
19.04 MB

          6. How Do We Select the Number of Clusters.vtt -
4.21 KB

          7. Hierarchical Clustering-theory.mp4 -
10.23 MB

          7. Hierarchical Clustering-theory.vtt -
5 KB

          8. Hierarchical Clustering-practical.mp4 -
29.39 MB

          8. Hierarchical Clustering-practical.vtt -
9.53 KB

          9. Principal Component Analysis (PCA)-Theory.mp4 -
5.91 MB

          9. Principal Component Analysis (PCA)-Theory.vtt -
2.96 KB

    11. Supervised Learning
          1. What is This Section About.mp4 -
24.88 MB

          1. What is This Section About.vtt -
11.5 KB

          10. knn-Classification.mp4 -
18.2 MB

          10. knn-Classification.vtt -
8 KB

+ Show all torrent content...

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