GetFreeCourses.Co-Udemy-Master Data Science with Python in 10 Hours 2021

磁力链接/BT种子名称

GetFreeCourses.Co-Udemy-Master Data Science with Python in 10 Hours 2021

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种子哈希：8af12098aeac71df1eff90c25d7673edab5ac5f5
文件大小： 3.25G
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收录时间：2022-03-24
最近下载：2025-02-23

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文件列表

  • 5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.mp4 231.0 MB
  • 7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.mp4 171.4 MB
  • 5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.mp4 114.5 MB
  • 5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.mp4 100.0 MB
  • 6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.mp4 98.4 MB
  • 3. Python Basics/12. Solutions I - Python Solutions.mp4 94.2 MB
  • 4. A Faster Alternative Numpy/2. Numpy Arrays.mp4 94.2 MB
  • 5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 92.7 MB
  • 3. Python Basics/10. Functions - Part II.mp4 92.4 MB
  • 5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.mp4 90.2 MB
  • 5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.mp4 87.0 MB
  • 6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.mp4 81.8 MB
  • 4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.mp4 80.9 MB
  • 5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.mp4 76.3 MB
  • 5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.mp4 73.2 MB
  • 6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.mp4 72.7 MB
  • 4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.mp4 72.0 MB
  • 7. Visualization II - Seaborn/7. Seaborn Grid Plots.mp4 71.4 MB
  • 3. Python Basics/9. Functions - Part I.mp4 70.7 MB
  • 7. Visualization II - Seaborn/3. Seaborn Distribution Plots.mp4 69.8 MB
  • 7. Visualization II - Seaborn/9. Seaborn Customizing Plots.mp4 66.8 MB
  • 7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.mp4 65.5 MB
  • 3. Python Basics/2. Strings.mp4 62.3 MB
  • 5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.mp4 61.6 MB
  • 3. Python Basics/8. While and For Loops.mp4 61.2 MB
  • 5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.mp4 54.4 MB
  • 4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.mp4 54.1 MB
  • 5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.mp4 53.1 MB
  • 7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.mp4 52.4 MB
  • 3. Python Basics/1. Numbers and Basic Operations.mp4 51.7 MB
  • 5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.mp4 51.1 MB
  • 7. Visualization II - Seaborn/6. Seaborn Matrix Plots.mp4 49.6 MB
  • 3. Python Basics/3. Format Print.mp4 49.6 MB
  • 5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.mp4 48.5 MB
  • 5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.mp4 45.1 MB
  • 5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.mp4 44.8 MB
  • 5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.mp4 41.1 MB
  • 3. Python Basics/6. Dictionaries.mp4 40.7 MB
  • 3. Python Basics/7. If Conditions.mp4 40.6 MB
  • 3. Python Basics/11. Exercises I - Python Exercises Overview.mp4 39.7 MB
  • 5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.mp4 39.5 MB
  • 5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.mp4 37.9 MB
  • 4. A Faster Alternative Numpy/1. Numpy Library Introduction.mp4 36.7 MB
  • 7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.mp4 35.8 MB
  • 4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.mp4 35.2 MB
  • 7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.mp4 34.9 MB
  • 4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.mp4 32.2 MB
  • 5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.mp4 29.0 MB
  • 6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.mp4 27.9 MB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.mp4 27.5 MB
  • 3. Python Basics/4. Lists.mp4 25.7 MB
  • 7. Visualization II - Seaborn/2. Seaborn Notebook Overview.mp4 25.7 MB
  • 4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.mp4 25.6 MB
  • 1. Introduction/2. Introduction to Data Science.mp4 23.2 MB
  • 3. Python Basics/5. Tuples.mp4 19.4 MB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.mp4 17.1 MB
  • 5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.mp4 12.9 MB
  • 5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.mp4 11.2 MB
  • 7. Visualization II - Seaborn/1. Seaborn Library Introduction.mp4 10.1 MB
  • 1. Introduction/1. Welcome!.mp4 5.7 MB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2.1 Data_Science_with_Python.zip 2.9 MB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/3.1 Data_Science_with_Python.zip 2.9 MB
  • 5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.srt 35.6 kB
  • 7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.srt 33.8 kB
  • 3. Python Basics/8. While and For Loops.srt 31.2 kB
  • 6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.srt 24.1 kB
  • 5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.srt 23.9 kB
  • 3. Python Basics/9. Functions - Part I.srt 23.4 kB
  • 3. Python Basics/2. Strings.srt 23.3 kB
  • 5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.srt 22.7 kB
  • 3. Python Basics/10. Functions - Part II.srt 22.6 kB
  • 3. Python Basics/12. Solutions I - Python Solutions.srt 22.5 kB
  • 6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.srt 20.9 kB
  • 7. Visualization II - Seaborn/3. Seaborn Distribution Plots.srt 20.3 kB
  • 4. A Faster Alternative Numpy/2. Numpy Arrays.srt 20.2 kB
  • 5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.srt 19.8 kB
  • 5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.srt 19.3 kB
  • 4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.srt 18.7 kB
  • 5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.srt 18.2 kB
  • 7. Visualization II - Seaborn/7. Seaborn Grid Plots.srt 18.2 kB
  • 5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.srt 16.9 kB
  • 5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.srt 15.9 kB
  • 5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.srt 15.8 kB
  • 7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.srt 15.7 kB
  • 5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.srt 15.7 kB
  • 4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.srt 15.7 kB
  • 3. Python Basics/1. Numbers and Basic Operations.srt 15.0 kB
  • 6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.srt 14.9 kB
  • 4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.srt 14.7 kB
  • 5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.srt 14.5 kB
  • 5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.srt 14.4 kB
  • 5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.srt 14.1 kB
  • 7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.srt 13.9 kB
  • 7. Visualization II - Seaborn/9. Seaborn Customizing Plots.srt 13.9 kB
  • 3. Python Basics/7. If Conditions.srt 13.0 kB
  • 7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.srt 12.6 kB
  • 5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).srt 12.3 kB
  • 3. Python Basics/3. Format Print.srt 12.1 kB
  • 3. Python Basics/6. Dictionaries.srt 12.0 kB
  • 5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.srt 11.3 kB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.srt 10.7 kB
  • 7. Visualization II - Seaborn/6. Seaborn Matrix Plots.srt 10.6 kB
  • 5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.srt 9.7 kB
  • 4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.srt 9.7 kB
  • 5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.srt 9.6 kB
  • 7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.srt 9.6 kB
  • 1. Introduction/2. Introduction to Data Science.srt 9.5 kB
  • 5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.srt 9.4 kB
  • 3. Python Basics/11. Exercises I - Python Exercises Overview.srt 8.7 kB
  • 3. Python Basics/4. Lists.srt 8.6 kB
  • 4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.srt 6.4 kB
  • 5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.srt 5.8 kB
  • 6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.srt 5.8 kB
  • 5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.srt 5.6 kB
  • 4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.srt 5.6 kB
  • 4. A Faster Alternative Numpy/1. Numpy Library Introduction.srt 5.6 kB
  • 3. Python Basics/5. Tuples.srt 4.9 kB
  • 5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.srt 4.1 kB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.srt 3.4 kB
  • 7. Visualization II - Seaborn/1. Seaborn Library Introduction.srt 3.1 kB
  • 7. Visualization II - Seaborn/2. Seaborn Notebook Overview.srt 3.0 kB
  • 1. Introduction/1. Welcome!.srt 1.9 kB
  • 7. Visualization II - Seaborn/12. Congratulations!.html 309 Bytes
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/3. Lecture Materials - All the Jupyter Notebooks.html 273 Bytes
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/How you can help GetFreeCourses.Co.txt 182 Bytes
  • 5. Dealing with Large Data Sets Pandas/How you can help GetFreeCourses.Co.txt 182 Bytes
  • How you can help GetFreeCourses.Co.txt 182 Bytes
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/GetFreeCourses.Co.url 116 Bytes
  • 5. Dealing with Large Data Sets Pandas/GetFreeCourses.Co.url 116 Bytes
  • Download Paid Udemy Courses For Free.url 116 Bytes
  • GetFreeCourses.Co.url 116 Bytes
  • 7. Visualization II - Seaborn/1.1 Seaborn website for documentation and tutorials.html 88 Bytes
  • 3. Python Basics/1.1 A lot of python documentation!.html 87 Bytes
  • 5. Dealing with Large Data Sets Pandas/1.1 Pandas website for documentation and tutorials.html 87 Bytes
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1.1 Anaconda Website.html 86 Bytes
  • 6. Visualization I - Matplotlib/1.1 Matplotlib website for documentation and tutorials.html 84 Bytes
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2.2 Jupyter website.html 81 Bytes
  • 4. A Faster Alternative Numpy/1.1 Numpy website for documentation and tutorials.html 79 Bytes

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