Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python

磁力链接/BT种子名称

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python

磁力链接/BT种子简介

种子哈希：82ea4b2f6c604d277fb4194aa4409ad7257a9a32
文件大小： 1.02G
已经下载：5894次
下载速度：极快
收录时间：2024-07-12
最近下载：2025-10-13

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磁力链接

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文件列表

  • Chapter 6 Machine Learning Basics/003. Classification in Code.mp4 84.9 MB
  • Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4 55.8 MB
  • Chapter 6 Machine Learning Basics/002. What Is Classification.mp4 52.2 MB
  • Chapter 2 NumPy/007. Generating Data.mp4 50.1 MB
  • Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4 45.3 MB
  • Chapter 2 NumPy/005. Matrices.mp4 44.8 MB
  • Chapter 6 Machine Learning Basics/005. Regression in Code.mp4 43.5 MB
  • Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.mp4 39.9 MB
  • Chapter 2 NumPy/002. Arrays Versus Lists.mp4 39.8 MB
  • Chapter 6 Machine Learning Basics/004. What Is Regression.mp4 39.7 MB
  • Chapter 4 Pandas/003. Selecting Rows and Columns.mp4 35.6 MB
  • Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4 35.2 MB
  • Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.mp4 32.7 MB
  • Chapter 2 NumPy/009. Where to Learn More NumPy.mp4 32.7 MB
  • Chapter 5 SciPy/005. Where to Learn More SciPy.mp4 29.7 MB
  • Chapter 3 Matplotlib/005. Plotting Images.mp4 29.1 MB
  • Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.mp4 29.0 MB
  • Chapter 2 NumPy/003. Dot Product.mp4 22.4 MB
  • Chapter 6 Machine Learning Basics/011. Machine Learning Section Summary.mp4 21.3 MB
  • Chapter 4 Pandas/007. Where to Learn More Pandas.mp4 21.3 MB
  • Chapter 6 Machine Learning Basics/008. All Data Is the Same.mp4 20.4 MB
  • Chapter 4 Pandas/002. Loading in Data.mp4 19.6 MB
  • Chapter 6 Machine Learning Basics/007. Machine Learning Is Nothing but Geometry.mp4 18.9 MB
  • Chapter 2 NumPy/001. NumPy Section Introduction.mp4 18.6 MB
  • Chapter 2 NumPy/010. Suggestion Box.mp4 18.2 MB
  • Chapter 5 SciPy/003. Convolution.mp4 18.1 MB
  • Chapter 1 Welcome and Logistics/002. Course Resources.mp4 16.9 MB
  • Chapter 3 Matplotlib/003. Scatterplot.mp4 16.1 MB
  • Chapter 3 Matplotlib/002. Line Chart.mp4 14.3 MB
  • Chapter 2 NumPy/006. Solving Linear Systems.mp4 14.3 MB
  • Chapter 3 Matplotlib/001. Matplotlib Section Introduction.mp4 14.3 MB
  • Chapter 2 NumPy/004. Speed Test.mp4 14.2 MB
  • Chapter 4 Pandas/006. Pandas Exercise.mp4 13.5 MB
  • Chapter 5 SciPy/002. PDF and CDF.mp4 12.7 MB
  • Chapter 3 Matplotlib/006. Matplotlib Exercise.mp4 11.9 MB
  • Chapter 4 Pandas/005. Plotting with Pandas.mp4 11.9 MB
  • Chapter 4 Pandas/004. The apply() Function.mp4 11.1 MB
  • Chapter 3 Matplotlib/004. Histogram.mp4 10.6 MB
  • Chapter 5 SciPy/001. SciPy Section Introduction.mp4 8.9 MB
  • Chapter 5 SciPy/004. SciPy Exercise.mp4 8.2 MB
  • Chapter 4 Pandas/001. Pandas Section Introduction.mp4 8.2 MB
  • Chapter 2 NumPy/008. NumPy Exercise.mp4 6.3 MB
  • Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.en.srt 20.7 kB
  • Chapter 2 NumPy/007. Generating Data.en.srt 20.4 kB
  • Chapter 6 Machine Learning Basics/004. What Is Regression.en.srt 20.0 kB
  • Chapter 6 Machine Learning Basics/002. What Is Classification.en.srt 19.8 kB
  • Chapter 6 Machine Learning Basics/003. Classification in Code.en.srt 19.4 kB
  • Chapter 2 NumPy/005. Matrices.en.srt 18.8 kB
  • Chapter 2 NumPy/002. Arrays Versus Lists.en.srt 16.9 kB
  • Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.en.srt 15.8 kB
  • Chapter 1 Welcome and Logistics/001. Introduction and Outline.en.srt 13.4 kB
  • Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.en.srt 13.1 kB
  • Chapter 2 NumPy/009. Where to Learn More NumPy.en.srt 11.9 kB
  • Chapter 4 Pandas/003. Selecting Rows and Columns.en.srt 11.7 kB
  • Chapter 5 SciPy/005. Where to Learn More SciPy.en.srt 11.6 kB
  • Chapter 6 Machine Learning Basics/005. Regression in Code.en.srt 11.3 kB
  • Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.en.srt 10.7 kB
  • Chapter 3 Matplotlib/005. Plotting Images.en.srt 9.9 kB
  • Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.en.srt 9.4 kB
  • Chapter 6 Machine Learning Basics/011. Machine Learning Section Summary.en.srt 9.3 kB
  • Chapter 2 NumPy/001. NumPy Section Introduction.en.srt 9.3 kB
  • Chapter 6 Machine Learning Basics/008. All Data Is the Same.en.srt 8.5 kB
  • Chapter 2 NumPy/003. Dot Product.en.srt 8.0 kB
  • Chapter 6 Machine Learning Basics/007. Machine Learning Is Nothing but Geometry.en.srt 7.2 kB
  • Chapter 4 Pandas/007. Where to Learn More Pandas.en.srt 6.9 kB
  • Chapter 3 Matplotlib/003. Scatterplot.en.srt 5.7 kB
  • Chapter 1 Welcome and Logistics/002. Course Resources.en.srt 5.6 kB
  • Chapter 2 NumPy/010. Suggestion Box.en.srt 5.5 kB
  • Chapter 5 SciPy/003. Convolution.en.srt 5.0 kB
  • Chapter 3 Matplotlib/001. Matplotlib Section Introduction.en.srt 4.5 kB
  • Chapter 4 Pandas/002. Loading in Data.en.srt 4.5 kB
  • Chapter 2 NumPy/006. Solving Linear Systems.en.srt 4.5 kB
  • Chapter 2 NumPy/004. Speed Test.en.srt 4.3 kB
  • Chapter 3 Matplotlib/002. Line Chart.en.srt 4.1 kB
  • Chapter 4 Pandas/006. Pandas Exercise.en.srt 3.4 kB
  • Chapter 5 SciPy/002. PDF and CDF.en.srt 3.4 kB
  • Chapter 4 Pandas/004. The apply() Function.en.srt 3.2 kB
  • Chapter 4 Pandas/005. Plotting with Pandas.en.srt 3.0 kB
  • Chapter 3 Matplotlib/006. Matplotlib Exercise.en.srt 2.7 kB
  • Chapter 3 Matplotlib/004. Histogram.en.srt 2.6 kB
  • Chapter 5 SciPy/001. SciPy Section Introduction.en.srt 2.1 kB
  • Chapter 4 Pandas/001. Pandas Section Introduction.en.srt 2.0 kB
  • Chapter 5 SciPy/004. SciPy Exercise.en.srt 1.6 kB
  • Chapter 2 NumPy/008. NumPy Exercise.en.srt 1.3 kB

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