[DesireCourse.Net] Udemy - Complete Data Science Training with Python for Data Analysis

Torrent Hash:
6BA6895D7D716420F653594B54E1E102E8CA79AC
Number of Files:
249
Content Size:
2.25GB
Convert On:
2019-09-28
Magnet Link:
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File Name
Size
1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.mp4
17.39MB
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1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.vtt
3.97KB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.m4v
55.61MB
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1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.vtt
13.5KB
1. Introduction to the Data Science in Python Bootcamp/3. Data For the Course.html
98B
1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip
308.04MB
1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.mp4
25.02MB
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1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.vtt
10.12KB
1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.mp4
10.22MB
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1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.vtt
3.88KB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4
40.32MB
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1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.vtt
17.22KB
1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.mp4
12.01MB
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1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.vtt
4.54KB
1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.mp4
7.73MB
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1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.vtt
3.43KB
1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.mp4
6.48MB
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1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.vtt
3.06KB
10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.mp4
6.17MB
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10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.vtt
1.81KB
10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.mp4
9.06MB
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10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.vtt
4.15KB
10. Unsupervised Learning in Python/11. Conclusions to Section 10.mp4
5.49MB
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10. Unsupervised Learning in Python/11. Conclusions to Section 10.vtt
2.48KB
10. Unsupervised Learning in Python/2. KMeans-theory.mp4
5.15MB
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10. Unsupervised Learning in Python/2. KMeans-theory.vtt
2.5KB
10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.mp4
19.54MB
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10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.vtt
7.61KB
10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.mp4
9.57MB
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10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.vtt
4.41KB
10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.mp4
12.08MB
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10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.vtt
4.49KB
10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.mp4
19.04MB
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10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.vtt
4.21KB
10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.mp4
10.23MB
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10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.vtt
5KB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4
29.39MB
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9.53KB
10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.mp4
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2.96KB
11. Supervised Learning/1. What is This Section About.mp4
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11. Supervised Learning/10. knn-Classification.mp4
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11. Supervised Learning/12. Gradient Boosting-classification.mp4
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11. Supervised Learning/14. Voting Classifier.mp4
9.53MB
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3.76KB
11. Supervised Learning/15. Conclusions to Section 11.mp4
7.23MB
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11. Supervised Learning/15. Conclusions to Section 11.vtt
2.94KB
11. Supervised Learning/16. Section 11 Quiz.html
163B
11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4
28.28MB
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11. Supervised Learning/2. Data Preparation for Supervised Learning.vtt
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11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.mp4
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11. Supervised Learning/4. Using Logistic Regression as a Classification Model.mp4
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11. Supervised Learning/5. RF-Classification.mp4
28.48MB
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5.48KB
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[CourseClub.Me].url
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[DesireCourse.Net].url
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