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

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文件数目:84个文件
文件大小:1.02 GB
收录时间:2026-04-16
访问次数:1
相关内容:DataSciencePrerequisitesNumpyMatplotlibPandasPython
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  • Chapter 6 Machine Learning Basics/003. Classification in Code.mp4
    81 MB
  • Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4
    53.25 MB
  • Chapter 6 Machine Learning Basics/002. What Is Classification.mp4
    49.77 MB
  • Chapter 2 NumPy/007. Generating Data.mp4
    47.79 MB
  • Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4
    43.24 MB
  • Chapter 2 NumPy/005. Matrices.mp4
    42.73 MB
  • Chapter 6 Machine Learning Basics/005. Regression in Code.mp4
    41.5 MB
  • Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.mp4
    38.1 MB
  • Chapter 2 NumPy/002. Arrays Versus Lists.mp4
    37.93 MB
  • Chapter 6 Machine Learning Basics/004. What Is Regression.mp4
    37.88 MB
  • Chapter 4 Pandas/003. Selecting Rows and Columns.mp4
    33.98 MB
  • Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4
    33.59 MB
  • Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.mp4
    31.2 MB
  • Chapter 2 NumPy/009. Where to Learn More NumPy.mp4
    31.18 MB
  • Chapter 5 SciPy/005. Where to Learn More SciPy.mp4
    28.3 MB
  • Chapter 3 Matplotlib/005. Plotting Images.mp4
    27.73 MB
  • Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.mp4
    27.65 MB
  • Chapter 2 NumPy/003. Dot Product.mp4
    21.33 MB
  • Chapter 6 Machine Learning Basics/011. Machine Learning Section Summary.mp4
    20.3 MB
  • Chapter 4 Pandas/007. Where to Learn More Pandas.mp4
    20.28 MB
  • Chapter 6 Machine Learning Basics/008. All Data Is the Same.mp4
    19.43 MB
  • Chapter 4 Pandas/002. Loading in Data.mp4
    18.69 MB
  • Chapter 6 Machine Learning Basics/007. Machine Learning Is Nothing but Geometry.mp4
    18.05 MB
  • Chapter 2 NumPy/001. NumPy Section Introduction.mp4
    17.77 MB
  • Chapter 2 NumPy/010. Suggestion Box.mp4
    17.35 MB
  • Chapter 5 SciPy/003. Convolution.mp4
    17.26 MB
  • Chapter 1 Welcome and Logistics/002. Course Resources.mp4
    16.15 MB
  • Chapter 3 Matplotlib/003. Scatterplot.mp4
    15.38 MB
  • Chapter 3 Matplotlib/002. Line Chart.mp4
    13.64 MB
  • Chapter 2 NumPy/006. Solving Linear Systems.mp4
    13.62 MB
  • Chapter 3 Matplotlib/001. Matplotlib Section Introduction.mp4
    13.59 MB
  • Chapter 2 NumPy/004. Speed Test.mp4
    13.52 MB
  • Chapter 4 Pandas/006. Pandas Exercise.mp4
    12.86 MB
  • Chapter 5 SciPy/002. PDF and CDF.mp4
    12.16 MB
  • Chapter 3 Matplotlib/006. Matplotlib Exercise.mp4
    11.37 MB
  • Chapter 4 Pandas/005. Plotting with Pandas.mp4
    11.37 MB
  • Chapter 4 Pandas/004. The apply() Function.mp4
    10.55 MB
  • Chapter 3 Matplotlib/004. Histogram.mp4
    10.1 MB
  • Chapter 5 SciPy/001. SciPy Section Introduction.mp4
    8.5 MB
  • Chapter 5 SciPy/004. SciPy Exercise.mp4
    7.81 MB
  • Chapter 4 Pandas/001. Pandas Section Introduction.mp4
    7.8 MB
  • Chapter 2 NumPy/008. NumPy Exercise.mp4
    5.98 MB
  • Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.en.srt
    20.2 KB
  • Chapter 2 NumPy/007. Generating Data.en.srt
    19.9 KB
  • Chapter 6 Machine Learning Basics/004. What Is Regression.en.srt
    19.53 KB
  • Chapter 6 Machine Learning Basics/002. What Is Classification.en.srt
    19.38 KB
  • Chapter 6 Machine Learning Basics/003. Classification in Code.en.srt
    18.91 KB
  • Chapter 2 NumPy/005. Matrices.en.srt
    18.32 KB
  • Chapter 2 NumPy/002. Arrays Versus Lists.en.srt
    16.55 KB
  • Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.en.srt
    15.41 KB
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