本站已收录 番号和无损神作磁力链接/BT种子 

[FreeTutorials.Us] [UDEMY] Data Science with Python - Beginners [FTU]

种子简介

种子名称: [FreeTutorials.Us] [UDEMY] Data Science with Python - Beginners [FTU]
文件类型: 视频
文件数目: 36个文件
文件大小: 1.28 GB
收录时间: 2019-9-12 20:56
已经下载: 3
资源热度: 92
最近下载: 2025-1-11 07:08

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:4bc86ffbb8b43029a4849c2961669ddf17925aee&dn=[FreeTutorials.Us] [UDEMY] Data Science with Python - Beginners [FTU] 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeTutorials.Us] [UDEMY] Data Science with Python - Beginners [FTU].torrent
  • 1. Introduction/1. Introduction to Data Visualization.mp420.32MB
  • 2. What is Data Science/1. Understanding Data Science.mp423.29MB
  • 2. What is Data Science/2. Python Environment Framework.mp431.48MB
  • 2. What is Data Science/3. Various Python Scripts.mp428.7MB
  • 3. Advanced Python/1. Concept of Advanced Python.mp426.5MB
  • 3. Advanced Python/2. Creating Functions for Python.mp423.6MB
  • 3. Advanced Python/3. Creating a New Library.mp422.83MB
  • 3. Advanced Python/4. Creating Bar Charts.mp438.96MB
  • 3. Advanced Python/5. Analysis on Line Chart.mp430.3MB
  • 3. Advanced Python/6. Understanding Scattered Plots.mp435.11MB
  • 4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp435.45MB
  • 4. Linear Algebra/2. Matrices in Linear Algebra.mp452.97MB
  • 4. Linear Algebra/3. Analysing Statistical Data.mp429.11MB
  • 4. Linear Algebra/4. Understanding Central Tendencies.mp462.96MB
  • 4. Linear Algebra/5. Dispersion for Data.mp434.33MB
  • 5. Probability/1. Probability in Discreet Mathematics.mp420.58MB
  • 5. Probability/10. Line of Best Fit.mp430.57MB
  • 5. Probability/11. Datascience with Gradient Descent.mp413.8MB
  • 5. Probability/12. Example on Gradient Descent.mp431.69MB
  • 5. Probability/2. Normal Distribution Curve.mp443.7MB
  • 5. Probability/3. Example for Normal Distribution Curve.mp432.54MB
  • 5. Probability/4. Central Limit Theorem.mp436.84MB
  • 5. Probability/5. Concept of Hypothesis.mp426.19MB
  • 5. Probability/6. Example on Hypothesis Testing.mp449.32MB
  • 5. Probability/7. Defining the Next Value.mp459.61MB
  • 5. Probability/8. Principle of P Hacking.mp427.36MB
  • 5. Probability/9. Understanding Bayesian Inference.mp427.87MB
  • 6. Gradient Descent/1. Value Import.mp458.83MB
  • 6. Gradient Descent/2. Output Functions for Gradient.mp451.68MB
  • 6. Gradient Descent/3. Working with Data Analysis.mp456.17MB
  • 6. Gradient Descent/4. Creating Normal Histogram.mp464.94MB
  • 6. Gradient Descent/5. Two Dimensional Graph.mp449.08MB
  • 6. Gradient Descent/6. Multiple Scatter Plots.mp445.53MB
  • 6. Gradient Descent/7. Analyzing Data Sets.mp434.6MB
  • 6. Gradient Descent/8. Learnig Box Plots.mp439.85MB
  • 7. Conclusion/1. Overview and Conclusion.mp415.38MB