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Download Python for Data Science

Python for Data Science

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Python for Data Science

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Total Size

3.3 GB

Total Files

121

Last Seen

2025-06-27 23:39

Hash

0D3F02BD2DB5F3531AD36B6D07B62CB39CD6BED3

/.../2. Python Fundamentals & NumPy Package/

4. Segment - 23-lab-tutorials-learning-juypter-notebook.mp4

170.6 MB

1. Segment - 20-introduction-to-python-notebook.mp4

65.9 MB

1. Segment - 20-introduction-to-python-notebook.srt

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2. Segment - 21-git-and-repl.mp4

37.8 MB

2. Segment - 21-git-and-repl.srt

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3. Segment - 22-introduction-ids-and-juypter-notebook.mp4

101.9 MB

3. Segment - 22-introduction-ids-and-juypter-notebook.srt

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4. Segment - 23-lab-tutorials-learning-juypter-notebook.srt

27.0 KB

5. Segment - 24-python-loops-and-functions.mp4

81.6 MB

5. Segment - 24-python-loops-and-functions.srt

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6. Segment - 25-python-objects-introduction.mp4

51.8 MB

6. Segment - 25-python-objects-introduction.srt

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7. Segment - 26-python-numpy.mp4

34.0 MB

7. Segment - 26-python-numpy.srt

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8. Segment - 27-arrays.mp4

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8. Segment - 27-arrays.srt

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9. Segment - 28-advanced-arrays.mp4

92.9 MB

9. Segment - 28-advanced-arrays.srt

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10. Segment - 29-matrices.mp4

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10. Segment - 29-matrices.srt

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/

TutsNode.com.txt

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[TGx]Downloaded from torrentgalaxy.to .txt

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/.../1. Introduction to Machine Learning and It’s Technologies/

1. Segment - 02-introduction-to-data-science-fin.mp4

82.2 MB

1. Segment - 02-introduction-to-data-science-fin.srt

15.4 KB

2. Segment - 03.mp4

14.4 MB

2. Segment - 03.srt

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3. Segment - 04-doing-data-science.mp4

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3. Segment - 04-doing-data-science.srt

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4. Segment - 05-problem-definitions-and-collecting-data.mp4

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4. Segment - 05-problem-definitions-and-collecting-data.srt

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5. Segment - 06-data-pipelines-preparation-cleaning-understanding.mp4

23.4 MB

5. Segment - 06-data-pipelines-preparation-cleaning-understanding.srt

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6. Segment - 07-model-building-validation-visualization-data-science-applications.mp4

44.1 MB

6. Segment - 07-model-building-validation-visualization-data-science-applications.srt

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7. Segment - 08-data-science-methodology-data-analytics-tools-open-source-tools.mp4

39.8 MB

7. Segment - 08-data-science-methodology-data-analytics-tools-open-source-tools.srt

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8. Segment - 09-data-science-future-readings.mp4

37.6 MB

8. Segment - 09-data-science-future-readings.srt

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9. Segment - 10-ai-primer-and-machine-learning-concepts.mp4

53.0 MB

9. Segment - 10-ai-primer-and-machine-learning-concepts.srt

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10. Segment - 11-machine-learning-applications.mp4

70.4 MB

10. Segment - 11-machine-learning-applications.srt

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11. Segment - 12-machine-learning-supervised-unsupervised.mp4

22.3 MB

11. Segment - 12-machine-learning-supervised-unsupervised.srt

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12. Segment - 12-types-of-machine-learning NUMBERING ISSUE, FIX.mp4

47.9 MB

12. Segment - 12-types-of-machine-learning NUMBERING ISSUE, FIX.srt

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13. Segment - 13-supervised-unsupervised-learning-methodology-clustering.mp4

33.1 MB

13. Segment - 13-supervised-unsupervised-learning-methodology-clustering.srt

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14. Segment - 14-python-vs-r.mp4

20.2 MB

14. Segment - 14-python-vs-r.srt

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15. Segment - 15-tools-for-scalable-machine-learning.mp4

34.0 MB

15. Segment - 15-tools-for-scalable-machine-learning.srt

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16. Segment - 16-introduction-to-python.mp4

60.9 MB

16. Segment - 16-introduction-to-python.srt

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17. Segment - 17-more-python-details.mp4

53.0 MB

17. Segment - 17-more-python-details.srt

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18. Segment - 18-python-examples.mp4

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18. Segment - 18-python-examples.srt

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19. Segment - 19-anaconda-navigator.mp4

45.0 MB

19. Segment - 19-anaconda-navigator.srt

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/.../3. Data Analysis using Pandas and Data Visualization/

1. Segment - 30-numpy-lab-tutorial.mp4

147.3 MB

1. Segment - 30-numpy-lab-tutorial.srt

23.7 KB

2. Segment 31 -review-session-python-for-data-science.mp4

41.0 MB

2. Segment 31 -review-session-python-for-data-science.srt

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3. Segment 32 - Why Pandas.mp4

11.1 MB

3. Segment 32 - Why Pandas.srt

2.1 KB

4. Segment 33 - Data Series.mp4

46.4 MB

4. Segment 33 - Data Series.srt

9.0 KB

5. Segment 34 - Series, Keys and Indices.mp4

43.7 MB

5. Segment 34 - Series, Keys and Indices.srt

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6. Segment 35 - NumPy Array vs. Panda Series.mp4

16.7 MB

6. Segment 35 - NumPy Array vs. Panda Series.srt

2.9 KB

7. Segment 36 - Dataframe.mp4

35.6 MB

7. Segment 36 - Dataframe.srt

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8. Segment 37 - Dataframe Operations.mp4

15.8 MB

8. Segment 37 - Dataframe Operations.srt

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9. Segment 38 - Using Lambda.mp4

20.4 MB

9. Segment 38 - Using Lambda.srt

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10. Segment 39 - Dataframe Operations (Continued).mp4

74.4 MB

10. Segment 39 - Dataframe Operations (Continued).srt

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11. Segment 40 - Statistical Analysis, Calculations and Operations.mp4

112.1 MB

11. Segment 40 - Statistical Analysis, Calculations and Operations.srt

21.1 KB

12. Segment 41 - Lab - Advanced Operations in Action.mp4

57.9 MB

12. Segment 41 - Lab - Advanced Operations in Action.srt

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13. Segment 42 - Lab - Advanced Operations in Action (Continued).mp4

88.0 MB

13. Segment 42 - Lab - Advanced Operations in Action (Continued).srt

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14. Segment 43 - Pandas Visualization and Matplotlib.mp4

71.6 MB

14. Segment 43 - Pandas Visualization and Matplotlib.srt

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15. Segment 44 - Seaborn.mp4

17.5 MB

15. Segment 44 - Seaborn.srt

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16. Segment 45 - ggplot.mp4

13.6 MB

16. Segment 45 - ggplot.srt

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17. Segment 46 - Statistical Graphs.mp4

14.7 MB

17. Segment 46 - Statistical Graphs.srt

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18. Segment 47 - Lab - Visualizations.mp4

83.2 MB

18. Segment 47 - Lab - Visualizations.srt

12.3 KB

/.../4. Supervised (Regression and Classification) & Unsupervised (Clustering) Machine L/

1. Segment 48 - Introduction to Scikit-Learn.mp4

53.5 MB

1. Segment 48 - Introduction to Scikit-Learn.srt

12.8 KB

2. Segment 49 - Scikit-Learn Uses and Applications.mp4

72.6 MB

2. Segment 49 - Scikit-Learn Uses and Applications.srt

11.9 KB

3. Segment 50 - Scikit-Learn vs. Other Tools.mp4

19.0 MB

3. Segment 50 - Scikit-Learn vs. Other Tools.srt

3.5 KB

4. Segment 51 - Scikit-Learn Classes, Utils and Data Sets.mp4

56.8 MB

4. Segment 51 - Scikit-Learn Classes, Utils and Data Sets.srt

12.3 KB

5. Segment 51 - Setting Up Scikit-Learn.mp4

9.0 MB

5. Segment 51 - Setting Up Scikit-Learn.srt

2.1 KB

6. Segment 52 - Estimators and Algorithms.mp4

92.5 MB

6. Segment 52 - Estimators and Algorithms.srt

17.6 KB

7. Segment 53 - Preprocessing and Feature Engineering.mp4

79.2 MB

7. Segment 53 - Preprocessing and Feature Engineering.srt

18.5 KB

8. Segment 54 - Metrics.mp4

76.6 MB

8. Segment 54 - Metrics.srt

18.7 KB

9. Segment 55 - Clustering.mp4

41.4 MB

9. Segment 55 - Clustering.srt

7.9 KB

10. Segment 56 - Prediction.mp4

42.6 MB

10. Segment 56 - Prediction.srt

9.3 KB

11. Segment 57 - Principal Component Analysis.mp4

45.3 MB

11. Segment 57 - Principal Component Analysis.srt

10.1 KB

12. Segment 58 - Lab - Classification Algorithm.mp4

158.9 MB

12. Segment 58 - Lab - Classification Algorithm.srt

25.8 KB

/5. Quizzes/

1. Quiz 1.html

0.1 KB

 

Total files 121


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