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种子名称： [GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization
文件类型： 视频
文件数目： 104个文件
文件大小： 3.24 GB
收录时间： 2017-7-4 18:33
已经下载： 3次
资源热度： 258
最近下载： 2024-11-29 14:20

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[GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization.torrent

Section 1 Intro to Course and Python/001 Course Intro.mp411.48MB

Section 1 Intro to Course and Python/002 Resources for Learning Python.mp43.74MB

Section 10 Machine Learning/009 Logistic Regression Part 4.mp497.94MB

Section 10 Machine Learning/013 Support Vector Machines - Part 2.mp485.84MB

Section 10 Machine Learning/005 Linear Regression Part 4.mp478.64MB

Section 10 Machine Learning/011 Multi Class Classification Part 2 - k Nearest Neighbor.mp473.53MB

Section 10 Machine Learning/006 Logistic Regression Part 1.mp471.8MB

Section 10 Machine Learning/004 Linear Regression Part 3.mp468.85MB

Section 10 Machine Learning/010 Multi Class Classification Part 1 - Logistic Regression.mp467.85MB

Section 10 Machine Learning/015 Naive Bayes Part 2.mp465.48MB

Section 10 Machine Learning/012 Support Vector Machines Part 1.mp464.93MB

Section 10 Machine Learning/002 Linear Regression Part 1.mp458.66MB

Section 10 Machine Learning/003 Linear Regression Part 2.mp452.52MB

Section 10 Machine Learning/007 Logistic Regression Part 2.mp451.81MB

Section 10 Machine Learning/001 Introduction to Machine Learning with SciKit Learn.mp446.17MB

Section 10 Machine Learning/008 Logistic Regression Part 3.mp439.67MB

Section 10 Machine Learning/014 Naive Bayes Part 1.mp435.69MB

Section 11 Appendix A Python Overview/002 Python Overview Part 1.mp434.46MB

Section 11 Appendix A Python Overview/001 Intro to Resources for Learning Python.mp427.02MB

Section 11 Appendix A Python Overview/003 Python Overview Part 2.mp421.89MB

Section 11 Appendix A Python Overview/004 Python Overview Part 3.mp419.92MB

Section 12 Appendix B Statistics Overview/009 Hypothesis Testing and Confidence Intervals.mp478.87MB

Section 12 Appendix B Statistics Overview/004 Binomial Distribution.mp441.74MB

Section 12 Appendix B Statistics Overview/005 Poisson Distribution.mp440.25MB

Section 12 Appendix B Statistics Overview/011 Bayes Theorem.mp436.76MB

Section 12 Appendix B Statistics Overview/003 Continuous Uniform Distribution.mp425.22MB

Section 12 Appendix B Statistics Overview/007 Sampling Techniques.mp422MB

Section 12 Appendix B Statistics Overview/002 Discrete Uniform Distribution.mp421.82MB

Section 12 Appendix B Statistics Overview/006 Normal Distribution.mp419.42MB

Section 12 Appendix B Statistics Overview/008 T-Distribution.mp416.35MB

Section 12 Appendix B Statistics Overview/010 Chi Square Test and Distribution.mp415.71MB

Section 12 Appendix B Statistics Overview/001 Intro to Appendix B.mp47.24MB

Section 13 Appendix C SQL and Python/001 Introduction to SQL with Python.mp443.76MB

Section 13 Appendix C SQL and Python/002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp432.34MB

Section 13 Appendix C SQL and Python/003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp428.13MB

Section 14 Appendix D Web Scraping with Python/002 Web Scraping Part 2.mp443.82MB

Section 14 Appendix D Web Scraping with Python/001 Web Scraping Part 1.mp437.31MB

Section 2 Setup/001 Installation Setup and Overview.mp461.97MB

Section 2 Setup/002 iPython Notebook Overview.mp48.89MB

Section 2 Setup/003 Course Environment Overview.mp48.29MB

Section 3 Learning Numpy/006 Array Processing.mp441.03MB

Section 3 Learning Numpy/003 Indexing Arrays.mp426.16MB

Section 3 Learning Numpy/005 Universal Array Function.mp414.94MB

Section 3 Learning Numpy/007 Array Input and Output.mp413.97MB

Section 3 Learning Numpy/001 Creating arrays.mp413.05MB

Section 3 Learning Numpy/002 Using arrays and scalars.mp47.93MB

Section 3 Learning Numpy/004 Array Transposition.mp47.53MB

Section 4 Intro to Pandas/002 DataFrames.mp452.86MB

Section 4 Intro to Pandas/009 Summary Statistics.mp446.09MB

Section 4 Intro to Pandas/004 Reindex.mp432.26MB

Section 4 Intro to Pandas/001 Series.mp424.75MB

Section 4 Intro to Pandas/011 Index Hierarchy.mp424.03MB

Section 4 Intro to Pandas/010 Missing Data.mp418.93MB

Section 4 Intro to Pandas/006 Selecting Entries.mp418.12MB

Section 4 Intro to Pandas/007 Data Alignment.mp417.7MB

Section 4 Intro to Pandas/008 Rank and Sort.mp49.45MB

Section 4 Intro to Pandas/005 Drop Entry.mp49.24MB

Section 4 Intro to Pandas/003 Index objects.mp49.23MB

Section 5 Working with Data Part 1/001 Reading and Writing Text Files.mp424.81MB

Section 5 Working with Data Part 1/003 HTML with Python.mp413.46MB

Section 5 Working with Data Part 1/002 JSON with Python.mp48.98MB

Section 5 Working with Data Part 1/004 Microsoft Excel files with Python.mp47.62MB

Section 6 Working with Data Part 2/001 Merge.mp436.33MB

Section 6 Working with Data Part 2/002 Merge on Index.mp425.22MB

Section 6 Working with Data Part 2/003 Concatenate.mp421.13MB

Section 6 Working with Data Part 2/004 Combining DataFrames.mp419.88MB

Section 6 Working with Data Part 2/006 Pivoting.mp417.98MB

Section 6 Working with Data Part 2/012 Outliers.mp416.22MB

Section 6 Working with Data Part 2/005 Reshaping.mp414.4MB

Section 6 Working with Data Part 2/011 Binning.mp413.02MB

Section 6 Working with Data Part 2/007 Duplicates in DataFrames.mp411.07MB

Section 6 Working with Data Part 2/010 Rename Index.mp410.09MB

Section 6 Working with Data Part 2/013 Permutation.mp48.74MB

Section 6 Working with Data Part 2/008 Mapping.mp47.78MB

Section 6 Working with Data Part 2/009 Replace.mp45.15MB

Section 7 Working with Data Part 3/003 Aggregation.mp443.79MB

Section 7 Working with Data Part 3/001 GroupBy on DataFrames.mp436.32MB

Section 7 Working with Data Part 3/002 GroupBy on Dict and Series.mp423.31MB

Section 7 Working with Data Part 3/004 Splitting Applying and Combining.mp422.15MB

Section 7 Working with Data Part 3/005 Cross Tabulation.mp48.83MB

Section 8 Data Visualization/003 Kernel Density Estimate Plots.mp461.86MB

Section 8 Data Visualization/007 Heatmaps and Clustered Matrices.mp439.05MB

Section 8 Data Visualization/006 Regression Plots.mp434.85MB

Section 8 Data Visualization/002 Histograms.mp420.25MB

Section 8 Data Visualization/005 Box and Violin Plots.mp418.29MB

Section 8 Data Visualization/004 Combining Plot Styles.mp411.62MB

Section 8 Data Visualization/001 Installing Seaborn.mp47.25MB

Section 9 Example Projects/012 Data Project - Stock Market Analysis Part 5.mp493.98MB

Section 9 Example Projects/017 Data Project - Election Analysis Part 4.mp465.74MB

Section 9 Example Projects/009 Data Project - Stock Market Analysis Part 2.mp456.85MB

Section 9 Example Projects/015 Data Project - Election Analysis Part 2.mp456.39MB

Section 9 Example Projects/014 Data Project - Election Analysis Part 1.mp444.57MB

Section 9 Example Projects/003 Titanic Project - Part 1.mp443.3MB

Section 9 Example Projects/010 Data Project - Stock Market Analysis Part 3.mp440.01MB

Section 9 Example Projects/016 Data Project - Election Analysis Part 3.mp439.06MB

Section 9 Example Projects/004 Titanic Project - Part 2.mp438.92MB

Section 9 Example Projects/005 Titanic Project - Part 3.mp435.08MB

Section 9 Example Projects/007 Intro to Data Project - Stock Market Analysis.mp432.77MB

Section 9 Example Projects/008 Data Project - Stock Market Analysis Part 1.mp432.41MB

Section 9 Example Projects/011 Data Project - Stock Market Analysis Part 4.mp425.88MB

Section 9 Example Projects/001 Data Projects Preview.mp425.79MB

Section 9 Example Projects/002 Intro to Data Projects.mp418.67MB

Section 9 Example Projects/013 Data Project - Intro to Election Analysis.mp414.9MB

Section 9 Example Projects/006 Titanic Project - Part 4.mp45.32MB