Python for Data Science | 0D3F02BD2DB5F3531AD36B6D07B62CB39CD6BED3

Python for Data Science

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Total Size	3.3 GB
Total Files	121
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Hash	0D3F02BD2DB5F3531AD36B6D07B62CB39CD6BED3

/.../2. Python Fundamentals & NumPy Package/
4. Segment - 23-lab-tutorials-learning-juypter-notebook.mp4	170.6 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../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	3.1 KB
3. Segment - 04-doing-data-science.mp4	27.4 MB
3. Segment - 04-doing-data-science.srt	5.4 KB
4. Segment - 05-problem-definitions-and-collecting-data.mp4	11.8 MB
4. Segment - 05-problem-definitions-and-collecting-data.srt	2.6 KB
5. Segment - 06-data-pipelines-preparation-cleaning-understanding.mp4	23.4 MB
5. Segment - 06-data-pipelines-preparation-cleaning-understanding.srt	4.5 KB
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	9.9 KB
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	7.7 KB
8. Segment - 09-data-science-future-readings.mp4	37.6 MB
8. Segment - 09-data-science-future-readings.srt	5.9 KB
9. Segment - 10-ai-primer-and-machine-learning-concepts.mp4	53.0 MB
9. Segment - 10-ai-primer-and-machine-learning-concepts.srt	10.2 KB
10. Segment - 11-machine-learning-applications.mp4	70.4 MB
10. Segment - 11-machine-learning-applications.srt	12.6 KB
11. Segment - 12-machine-learning-supervised-unsupervised.mp4	22.3 MB
11. Segment - 12-machine-learning-supervised-unsupervised.srt	4.8 KB
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	8.0 KB
13. Segment - 13-supervised-unsupervised-learning-methodology-clustering.mp4	33.1 MB
13. Segment - 13-supervised-unsupervised-learning-methodology-clustering.srt	6.2 KB
14. Segment - 14-python-vs-r.mp4	20.2 MB
14. Segment - 14-python-vs-r.srt	3.9 KB
15. Segment - 15-tools-for-scalable-machine-learning.mp4	34.0 MB
15. Segment - 15-tools-for-scalable-machine-learning.srt	6.5 KB
16. Segment - 16-introduction-to-python.mp4	60.9 MB
16. Segment - 16-introduction-to-python.srt	12.8 KB
17. Segment - 17-more-python-details.mp4	53.0 MB
17. Segment - 17-more-python-details.srt	11.1 KB
18. Segment - 18-python-examples.mp4	48.0 MB
18. Segment - 18-python-examples.srt	10.5 KB
19. Segment - 19-anaconda-navigator.mp4	45.0 MB
19. Segment - 19-anaconda-navigator.srt	11.1 KB
/.../2. Python Fundamentals & NumPy Package/
1. Segment - 20-introduction-to-python-notebook.mp4	65.9 MB
1. Segment - 20-introduction-to-python-notebook.srt	12.7 KB
2. Segment - 21-git-and-repl.mp4	37.8 MB
2. Segment - 21-git-and-repl.srt	3.1 KB
3. Segment - 22-introduction-ids-and-juypter-notebook.mp4	101.9 MB
3. Segment - 22-introduction-ids-and-juypter-notebook.srt	16.7 KB
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	17.2 KB
6. Segment - 25-python-objects-introduction.mp4	51.8 MB
6. Segment - 25-python-objects-introduction.srt	9.0 KB
7. Segment - 26-python-numpy.mp4	34.0 MB
7. Segment - 26-python-numpy.srt	6.5 KB
8. Segment - 27-arrays.mp4	131.1 MB
8. Segment - 27-arrays.srt	24.6 KB
9. Segment - 28-advanced-arrays.mp4	92.9 MB
9. Segment - 28-advanced-arrays.srt	17.9 KB
10. Segment - 29-matrices.mp4	56.0 MB
10. Segment - 29-matrices.srt	9.7 KB
/.../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	9.1 KB
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	8.7 KB
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	7.5 KB
8. Segment 37 - Dataframe Operations.mp4	15.8 MB
8. Segment 37 - Dataframe Operations.srt	3.6 KB
9. Segment 38 - Using Lambda.mp4	20.4 MB
9. Segment 38 - Using Lambda.srt	4.6 KB
10. Segment 39 - Dataframe Operations (Continued).mp4	74.4 MB
10. Segment 39 - Dataframe Operations (Continued).srt	15.1 KB
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	7.5 KB
13. Segment 42 - Lab - Advanced Operations in Action (Continued).mp4	88.0 MB
13. Segment 42 - Lab - Advanced Operations in Action (Continued).srt	11.4 KB
14. Segment 43 - Pandas Visualization and Matplotlib.mp4	71.6 MB
14. Segment 43 - Pandas Visualization and Matplotlib.srt	14.4 KB
15. Segment 44 - Seaborn.mp4	17.5 MB
15. Segment 44 - Seaborn.srt	3.2 KB
16. Segment 45 - ggplot.mp4	13.6 MB
16. Segment 45 - ggplot.srt	2.6 KB
17. Segment 46 - Statistical Graphs.mp4	14.7 MB
17. Segment 46 - Statistical Graphs.srt	2.7 KB
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