Udemy - Learning Python for Data Analysis and Visualization (2015)

磁力链接/BT种子名称

Udemy - Learning Python for Data Analysis and Visualization (2015)

磁力链接/BT种子简介

种子哈希：e736880c4ce4ca784ab545ead1648e13b5dbfce6
文件大小： 3.24G
已经下载：7000次
下载速度：极快
收录时间：2020-02-04
最近下载：2025-10-07

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文件列表

  • 10 Machine Learning/078 Logistic Regression Part 4.mp4 102.7 MB
  • 09 Example Projects/064 Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
  • 10 Machine Learning/082 Support Vector Machines - Part 2.mp4 90.0 MB
  • 12 Appendix B Statistics Overview/097 Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
  • 10 Machine Learning/074 Linear Regression Part 4.mp4 82.5 MB
  • 10 Machine Learning/080 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
  • 10 Machine Learning/075 Logistic Regression Part 1.mp4 75.3 MB
  • 10 Machine Learning/073 Linear Regression Part 3.mp4 72.2 MB
  • 10 Machine Learning/079 Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
  • 09 Example Projects/069 Data Project - Election Analysis Part 4.mp4 68.9 MB
  • 10 Machine Learning/084 Naive Bayes Part 2.mp4 68.7 MB
  • 10 Machine Learning/081 Support Vector Machines Part 1.mp4 68.1 MB
  • 02 Setup/003 Installation Setup and Overview.mp4 65.0 MB
  • 08 Data Visualization/048 Kernel Density Estimate Plots.mp4 64.9 MB
  • 10 Machine Learning/071 Linear Regression Part 1.mp4 61.5 MB
  • 09 Example Projects/061 Data Project - Stock Market Analysis Part 2.mp4 59.6 MB
  • 09 Example Projects/067 Data Project - Election Analysis Part 2.mp4 59.1 MB
  • 04 Intro to Pandas/014 DataFrames.mp4 55.4 MB
  • 10 Machine Learning/072 Linear Regression Part 2.mp4 55.1 MB
  • 10 Machine Learning/076 Logistic Regression Part 2.mp4 54.3 MB
  • 10 Machine Learning/070 Introduction to Machine Learning with SciKit Learn.mp4 48.4 MB
  • 04 Intro to Pandas/021 Summary Statistics.mp4 48.3 MB
  • 09 Example Projects/066 Data Project - Election Analysis Part 1.mp4 46.7 MB
  • 14 Appendix D Web Scraping with Python/104 Web Scraping Part 2.mp4 46.0 MB
  • 07 Working with Data Part 3/043 Aggregation.mp4 45.9 MB
  • 13 Appendix C SQL and Python/100 Introduction to SQL with Python.mp4 45.9 MB
  • 09 Example Projects/055 Titanic Project - Part 1.mp4 45.4 MB
  • 12 Appendix B Statistics Overview/092 Binomial Distribution.mp4 43.8 MB
  • 03 Learning Numpy/011 Array Processing.mp4 43.0 MB
  • 12 Appendix B Statistics Overview/093 Poisson Distribution.mp4 42.2 MB
  • 09 Example Projects/062 Data Project - Stock Market Analysis Part 3.mp4 42.0 MB
  • 10 Machine Learning/077 Logistic Regression Part 3.mp4 41.6 MB
  • 09 Example Projects/068 Data Project - Election Analysis Part 3.mp4 41.0 MB
  • 08 Data Visualization/052 Heatmaps and Clustered Matrices.mp4 40.9 MB
  • 09 Example Projects/056 Titanic Project - Part 2.mp4 40.8 MB
  • 14 Appendix D Web Scraping with Python/103 Web Scraping Part 1.mp4 39.1 MB
  • 12 Appendix B Statistics Overview/099 Bayes Theorem.mp4 38.5 MB
  • 06 Working with Data Part 2/028 Merge.mp4 38.1 MB
  • 07 Working with Data Part 3/041 GroupBy on DataFrames.mp4 38.1 MB
  • 10 Machine Learning/083 Naive Bayes Part 1.mp4 37.4 MB
  • 09 Example Projects/057 Titanic Project - Part 3.mp4 36.8 MB
  • 08 Data Visualization/051 Regression Plots.mp4 36.5 MB
  • 11 Appendix A Python Overview/086 Python Overview Part 1.mp4 36.1 MB
  • 09 Example Projects/059 Intro to Data Project - Stock Market Analysis.mp4 34.4 MB
  • 09 Example Projects/060 Data Project - Stock Market Analysis Part 1.mp4 34.0 MB
  • 13 Appendix C SQL and Python/101 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 33.9 MB
  • 04 Intro to Pandas/016 Reindex.mp4 33.8 MB
  • 13 Appendix C SQL and Python/102 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 29.5 MB
  • 11 Appendix A Python Overview/085 Intro to Resources for Learning Python.mp4 28.3 MB
  • 03 Learning Numpy/008 Indexing Arrays.mp4 27.4 MB
  • 09 Example Projects/063 Data Project - Stock Market Analysis Part 4.mp4 27.1 MB
  • 09 Example Projects/053 Data Projects Preview.mp4 27.0 MB
  • 06 Working with Data Part 2/029 Merge on Index.mp4 26.4 MB
  • 12 Appendix B Statistics Overview/091 Continuous Uniform Distribution.mp4 26.4 MB
  • 05 Working with Data Part 1/024 Reading and Writing Text Files.mp4 26.0 MB
  • 04 Intro to Pandas/013 Series.mp4 25.9 MB
  • 04 Intro to Pandas/023 Index Hierarchy.mp4 25.2 MB
  • 07 Working with Data Part 3/042 GroupBy on Dict and Series.mp4 24.4 MB
  • 07 Working with Data Part 3/044 Splitting Applying and Combining.mp4 23.2 MB
  • 12 Appendix B Statistics Overview/095 Sampling Techniques.mp4 23.1 MB
  • 11 Appendix A Python Overview/087 Python Overview Part 2.mp4 23.0 MB
  • 12 Appendix B Statistics Overview/090 Discrete Uniform Distribution.mp4 22.9 MB
  • 06 Working with Data Part 2/030 Concatenate.mp4 22.2 MB
  • 08 Data Visualization/047 Histograms.mp4 21.2 MB
  • 11 Appendix A Python Overview/088 Python Overview Part 3.mp4 20.9 MB
  • 06 Working with Data Part 2/031 Combining DataFrames.mp4 20.8 MB
  • 12 Appendix B Statistics Overview/094 Normal Distribution.mp4 20.4 MB
  • 04 Intro to Pandas/022 Missing Data.mp4 19.8 MB
  • 09 Example Projects/054 Intro to Data Projects.mp4 19.6 MB
  • 08 Data Visualization/050 Box and Violin Plots.mp4 19.2 MB
  • 04 Intro to Pandas/018 Selecting Entries.mp4 19.0 MB
  • 06 Working with Data Part 2/033 Pivoting.mp4 18.8 MB
  • 04 Intro to Pandas/019 Data Alignment.mp4 18.6 MB
  • 12 Appendix B Statistics Overview/096 T-Distribution.mp4 17.1 MB
  • 06 Working with Data Part 2/039 Outliers.mp4 17.0 MB
  • 12 Appendix B Statistics Overview/098 Chi Square Test and Distribution.mp4 16.5 MB
  • 03 Learning Numpy/010 Universal Array Function.mp4 15.7 MB
  • 09 Example Projects/065 Data Project - Intro to Election Analysis.mp4 15.6 MB
  • 06 Working with Data Part 2/032 Reshaping.mp4 15.1 MB
  • 03 Learning Numpy/012 Array Input and Output.mp4 14.7 MB
  • 05 Working with Data Part 1/026 HTML with Python.mp4 14.1 MB
  • 03 Learning Numpy/006 Creating arrays.mp4 13.7 MB
  • 06 Working with Data Part 2/038 Binning.mp4 13.7 MB
  • 08 Data Visualization/049 Combining Plot Styles.mp4 12.2 MB
  • 01 Intro to Course and Python/001 Course Intro.mp4 12.0 MB
  • 06 Working with Data Part 2/034 Duplicates in DataFrames.mp4 11.6 MB
  • 06 Working with Data Part 2/037 Rename Index.mp4 10.6 MB
  • 04 Intro to Pandas/020 Rank and Sort.mp4 9.9 MB
  • 04 Intro to Pandas/017 Drop Entry.mp4 9.7 MB
  • 04 Intro to Pandas/015 Index objects.mp4 9.7 MB
  • 05 Working with Data Part 1/025 JSON with Python.mp4 9.4 MB
  • 02 Setup/004 iPython Notebook Overview.mp4 9.3 MB
  • 07 Working with Data Part 3/045 Cross Tabulation.mp4 9.3 MB
  • 06 Working with Data Part 2/040 Permutation.mp4 9.2 MB
  • 02 Setup/005 Course Environment Overview.mp4 8.7 MB
  • 03 Learning Numpy/007 Using arrays and scalars.mp4 8.3 MB
  • 06 Working with Data Part 2/035 Mapping.mp4 8.2 MB
  • 05 Working with Data Part 1/027 Microsoft Excel files with Python.mp4 8.0 MB
  • 03 Learning Numpy/009 Array Transposition.mp4 7.9 MB
  • 08 Data Visualization/046 Installing Seaborn.mp4 7.6 MB
  • 12 Appendix B Statistics Overview/089 Intro to Appendix B.mp4 7.6 MB
  • 09 Example Projects/058 Titanic Project - Part 4.mp4 5.6 MB
  • 06 Working with Data Part 2/036 Replace.mp4 5.4 MB
  • 01 Intro to Course and Python/002 Resources for Learning Python.mp4 3.9 MB

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