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[GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021

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种子名称: [GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021
文件类型: 视频
文件数目: 60个文件
文件大小: 3.24 GB
收录时间: 2025-2-7 01:50
已经下载: 3
资源热度: 21
最近下载: 2025-2-12 05:27

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[GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021.torrent
  • 1. Introduction/1. Welcome!.mp45.45MB
  • 1. Introduction/2. Introduction to Data Science.mp422.15MB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.mp416.27MB
  • 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.mp426.21MB
  • 3. Python Basics/1. Numbers and Basic Operations.mp449.35MB
  • 3. Python Basics/10. Functions - Part II.mp488.12MB
  • 3. Python Basics/11. Exercises I - Python Exercises Overview.mp437.88MB
  • 3. Python Basics/12. Solutions I - Python Solutions.mp489.86MB
  • 3. Python Basics/2. Strings.mp459.45MB
  • 3. Python Basics/3. Format Print.mp447.28MB
  • 3. Python Basics/4. Lists.mp424.54MB
  • 3. Python Basics/5. Tuples.mp418.46MB
  • 3. Python Basics/6. Dictionaries.mp438.77MB
  • 3. Python Basics/7. If Conditions.mp438.76MB
  • 3. Python Basics/8. While and For Loops.mp458.4MB
  • 3. Python Basics/9. Functions - Part I.mp467.4MB
  • 4. A Faster Alternative Numpy/1. Numpy Library Introduction.mp435.04MB
  • 4. A Faster Alternative Numpy/2. Numpy Arrays.mp489.79MB
  • 4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.mp424.37MB
  • 4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.mp430.68MB
  • 4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.mp451.58MB
  • 4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.mp477.2MB
  • 4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.mp433.52MB
  • 4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.mp468.63MB
  • 5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.mp410.66MB
  • 5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.mp450.63MB
  • 5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.mp446.25MB
  • 5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.mp472.78MB
  • 5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.mp436.19MB
  • 5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.mp458.72MB
  • 5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.mp451.85MB
  • 5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.mp443.04MB
  • 5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.mp469.84MB
  • 5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.mp4109.19MB
  • 5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.mp439.16MB
  • 5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.mp427.66MB
  • 5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).mp488.38MB
  • 5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.mp4220.29MB
  • 5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.mp495.33MB
  • 5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.mp486.03MB
  • 5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.mp437.65MB
  • 5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.mp412.26MB
  • 5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.mp482.97MB
  • 5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.mp448.74MB
  • 5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.mp442.71MB
  • 6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.mp426.59MB
  • 6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.mp478.04MB
  • 6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.mp493.88MB
  • 6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.mp469.35MB
  • 7. Visualization II - Seaborn/1. Seaborn Library Introduction.mp49.67MB
  • 7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.mp462.51MB
  • 7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.mp4163.5MB
  • 7. Visualization II - Seaborn/2. Seaborn Notebook Overview.mp424.52MB
  • 7. Visualization II - Seaborn/3. Seaborn Distribution Plots.mp466.59MB
  • 7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.mp434.12MB
  • 7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.mp449.93MB
  • 7. Visualization II - Seaborn/6. Seaborn Matrix Plots.mp447.3MB
  • 7. Visualization II - Seaborn/7. Seaborn Grid Plots.mp468.12MB
  • 7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.mp433.32MB
  • 7. Visualization II - Seaborn/9. Seaborn Customizing Plots.mp463.68MB