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文档列表

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
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