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[GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization
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[GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization
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文件列表
Section 10 Machine Learning/009 Logistic Regression Part 4.mp4
102.7 MB
Section 9 Example Projects/012 Data Project - Stock Market Analysis Part 5.mp4
98.5 MB
Section 10 Machine Learning/013 Support Vector Machines - Part 2.mp4
90.0 MB
Section 12 Appendix B Statistics Overview/009 Hypothesis Testing and Confidence Intervals.mp4
82.7 MB
Section 10 Machine Learning/005 Linear Regression Part 4.mp4
82.5 MB
Section 10 Machine Learning/011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4
77.1 MB
Section 10 Machine Learning/006 Logistic Regression Part 1.mp4
75.3 MB
Section 10 Machine Learning/004 Linear Regression Part 3.mp4
72.2 MB
Section 10 Machine Learning/010 Multi Class Classification Part 1 - Logistic Regression.mp4
71.1 MB
Section 9 Example Projects/017 Data Project - Election Analysis Part 4.mp4
68.9 MB
Section 10 Machine Learning/015 Naive Bayes Part 2.mp4
68.7 MB
Section 10 Machine Learning/012 Support Vector Machines Part 1.mp4
68.1 MB
Section 2 Setup/001 Installation Setup and Overview.mp4
65.0 MB
Section 8 Data Visualization/003 Kernel Density Estimate Plots.mp4
64.9 MB
Section 10 Machine Learning/002 Linear Regression Part 1.mp4
61.5 MB
Section 9 Example Projects/009 Data Project - Stock Market Analysis Part 2.mp4
59.6 MB
Section 9 Example Projects/015 Data Project - Election Analysis Part 2.mp4
59.1 MB
Section 4 Intro to Pandas/002 DataFrames.mp4
55.4 MB
Section 10 Machine Learning/003 Linear Regression Part 2.mp4
55.1 MB
Section 10 Machine Learning/007 Logistic Regression Part 2.mp4
54.3 MB
Section 10 Machine Learning/001 Introduction to Machine Learning with SciKit Learn.mp4
48.4 MB
Section 4 Intro to Pandas/009 Summary Statistics.mp4
48.3 MB
Section 9 Example Projects/014 Data Project - Election Analysis Part 1.mp4
46.7 MB
Section 14 Appendix D Web Scraping with Python/002 Web Scraping Part 2.mp4
46.0 MB
Section 7 Working with Data Part 3/003 Aggregation.mp4
45.9 MB
Section 13 Appendix C SQL and Python/001 Introduction to SQL with Python.mp4
45.9 MB
Section 9 Example Projects/003 Titanic Project - Part 1.mp4
45.4 MB
Section 12 Appendix B Statistics Overview/004 Binomial Distribution.mp4
43.8 MB
Section 3 Learning Numpy/006 Array Processing.mp4
43.0 MB
Section 12 Appendix B Statistics Overview/005 Poisson Distribution.mp4
42.2 MB
Section 9 Example Projects/010 Data Project - Stock Market Analysis Part 3.mp4
42.0 MB
Section 10 Machine Learning/008 Logistic Regression Part 3.mp4
41.6 MB
Section 9 Example Projects/016 Data Project - Election Analysis Part 3.mp4
41.0 MB
Section 8 Data Visualization/007 Heatmaps and Clustered Matrices.mp4
40.9 MB
Section 9 Example Projects/004 Titanic Project - Part 2.mp4
40.8 MB
Section 14 Appendix D Web Scraping with Python/001 Web Scraping Part 1.mp4
39.1 MB
Section 12 Appendix B Statistics Overview/011 Bayes Theorem.mp4
38.5 MB
Section 6 Working with Data Part 2/001 Merge.mp4
38.1 MB
Section 7 Working with Data Part 3/001 GroupBy on DataFrames.mp4
38.1 MB
Section 10 Machine Learning/014 Naive Bayes Part 1.mp4
37.4 MB
Section 9 Example Projects/005 Titanic Project - Part 3.mp4
36.8 MB
Section 8 Data Visualization/006 Regression Plots.mp4
36.5 MB
Section 11 Appendix A Python Overview/002 Python Overview Part 1.mp4
36.1 MB
Section 9 Example Projects/007 Intro to Data Project - Stock Market Analysis.mp4
34.4 MB
Section 9 Example Projects/008 Data Project - Stock Market Analysis Part 1.mp4
34.0 MB
Section 13 Appendix C SQL and Python/002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4
33.9 MB
Section 4 Intro to Pandas/004 Reindex.mp4
33.8 MB
Section 13 Appendix C SQL and Python/003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4
29.5 MB
Section 11 Appendix A Python Overview/001 Intro to Resources for Learning Python.mp4
28.3 MB
Section 3 Learning Numpy/003 Indexing Arrays.mp4
27.4 MB
Section 9 Example Projects/011 Data Project - Stock Market Analysis Part 4.mp4
27.1 MB
Section 9 Example Projects/001 Data Projects Preview.mp4
27.0 MB
Section 6 Working with Data Part 2/002 Merge on Index.mp4
26.4 MB
Section 12 Appendix B Statistics Overview/003 Continuous Uniform Distribution.mp4
26.4 MB
Section 5 Working with Data Part 1/001 Reading and Writing Text Files.mp4
26.0 MB
Section 4 Intro to Pandas/001 Series.mp4
25.9 MB
Section 4 Intro to Pandas/011 Index Hierarchy.mp4
25.2 MB
Section 7 Working with Data Part 3/002 GroupBy on Dict and Series.mp4
24.4 MB
Section 7 Working with Data Part 3/004 Splitting Applying and Combining.mp4
23.2 MB
Section 12 Appendix B Statistics Overview/007 Sampling Techniques.mp4
23.1 MB
Section 11 Appendix A Python Overview/003 Python Overview Part 2.mp4
23.0 MB
Section 12 Appendix B Statistics Overview/002 Discrete Uniform Distribution.mp4
22.9 MB
Section 6 Working with Data Part 2/003 Concatenate.mp4
22.2 MB
Section 8 Data Visualization/002 Histograms.mp4
21.2 MB
Section 11 Appendix A Python Overview/004 Python Overview Part 3.mp4
20.9 MB
Section 6 Working with Data Part 2/004 Combining DataFrames.mp4
20.8 MB
Section 12 Appendix B Statistics Overview/006 Normal Distribution.mp4
20.4 MB
Section 4 Intro to Pandas/010 Missing Data.mp4
19.8 MB
Section 9 Example Projects/002 Intro to Data Projects.mp4
19.6 MB
Section 8 Data Visualization/005 Box and Violin Plots.mp4
19.2 MB
Section 4 Intro to Pandas/006 Selecting Entries.mp4
19.0 MB
Section 6 Working with Data Part 2/006 Pivoting.mp4
18.8 MB
Section 4 Intro to Pandas/007 Data Alignment.mp4
18.6 MB
Section 12 Appendix B Statistics Overview/008 T-Distribution.mp4
17.1 MB
Section 6 Working with Data Part 2/012 Outliers.mp4
17.0 MB
Section 12 Appendix B Statistics Overview/010 Chi Square Test and Distribution.mp4
16.5 MB
Section 3 Learning Numpy/005 Universal Array Function.mp4
15.7 MB
Section 9 Example Projects/013 Data Project - Intro to Election Analysis.mp4
15.6 MB
Section 6 Working with Data Part 2/005 Reshaping.mp4
15.1 MB
Section 3 Learning Numpy/007 Array Input and Output.mp4
14.7 MB
Section 5 Working with Data Part 1/003 HTML with Python.mp4
14.1 MB
Section 3 Learning Numpy/001 Creating arrays.mp4
13.7 MB
Section 6 Working with Data Part 2/011 Binning.mp4
13.7 MB
Section 8 Data Visualization/004 Combining Plot Styles.mp4
12.2 MB
Section 1 Intro to Course and Python/001 Course Intro.mp4
12.0 MB
Section 6 Working with Data Part 2/007 Duplicates in DataFrames.mp4
11.6 MB
Section 6 Working with Data Part 2/010 Rename Index.mp4
10.6 MB
Section 4 Intro to Pandas/008 Rank and Sort.mp4
9.9 MB
Section 4 Intro to Pandas/005 Drop Entry.mp4
9.7 MB
Section 4 Intro to Pandas/003 Index objects.mp4
9.7 MB
Section 5 Working with Data Part 1/002 JSON with Python.mp4
9.4 MB
Section 2 Setup/002 iPython Notebook Overview.mp4
9.3 MB
Section 7 Working with Data Part 3/005 Cross Tabulation.mp4
9.3 MB
Section 6 Working with Data Part 2/013 Permutation.mp4
9.2 MB
Section 2 Setup/003 Course Environment Overview.mp4
8.7 MB
Section 3 Learning Numpy/002 Using arrays and scalars.mp4
8.3 MB
Section 6 Working with Data Part 2/008 Mapping.mp4
8.2 MB
Section 5 Working with Data Part 1/004 Microsoft Excel files with Python.mp4
8.0 MB
Section 3 Learning Numpy/004 Array Transposition.mp4
7.9 MB
Section 8 Data Visualization/001 Installing Seaborn.mp4
7.6 MB
Section 12 Appendix B Statistics Overview/001 Intro to Appendix B.mp4
7.6 MB
Section 9 Example Projects/006 Titanic Project - Part 4.mp4
5.6 MB
Section 6 Working with Data Part 2/009 Replace.mp4
5.4 MB
Section 1 Intro to Course and Python/002 Resources for Learning Python.mp4
3.9 MB
MyFreeOnlineMovies.com.png
8.5 kB
Downloaded from www.GloDLS.to.png
2.6 kB
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