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

Creation Time	July 23, 2024, 2:12 a.m.
Last Access Time	Dec. 1, 2024, 4:16 p.m.
File Size	1.0 GB
Keywords	and Prerequisites Science - Matplotlib Python in Data Pandas Numpy
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Total Files	84
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Chapter 6 Machine Learning Basics/003. Classification in Code.mp4 81.0 MB
Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4 53.2 MB
Chapter 6 Machine Learning Basics/002. What Is Classification.mp4 49.8 MB
Chapter 2 NumPy/007. Generating Data.mp4 47.8 MB
Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4 43.2 MB
Chapter 2 NumPy/005. Matrices.mp4 42.7 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 37.9 MB
Chapter 6 Machine Learning Basics/004. What Is Regression.mp4 37.9 MB
Chapter 4 Pandas/003. Selecting Rows and Columns.mp4 34.0 MB
Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4 33.6 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 31.2 MB
Chapter 5 SciPy/005. Where to Learn More SciPy.mp4 28.3 MB
Chapter 3 Matplotlib/005. Plotting Images.mp4 27.7 MB
Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.mp4 27.6 MB
Chapter 2 NumPy/003. Dot Product.mp4 21.3 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 20.3 MB
Chapter 6 Machine Learning Basics/008. All Data Is the Same.mp4 19.4 MB
Chapter 4 Pandas/002. Loading in Data.mp4 18.7 MB
Chapter 6 Machine Learning Basics/007. Machine Learning Is Nothing but Geometry.mp4 18.0 MB
Chapter 2 NumPy/001. NumPy Section Introduction.mp4 17.8 MB
Chapter 2 NumPy/010. Suggestion Box.mp4 17.4 MB
Chapter 5 SciPy/003. Convolution.mp4 17.3 MB
Chapter 1 Welcome and Logistics/002. Course Resources.mp4 16.2 MB
Chapter 3 Matplotlib/003. Scatterplot.mp4 15.4 MB
Chapter 3 Matplotlib/002. Line Chart.mp4 13.6 MB
Chapter 2 NumPy/006. Solving Linear Systems.mp4 13.6 MB
Chapter 3 Matplotlib/001. Matplotlib Section Introduction.mp4 13.6 MB
Chapter 2 NumPy/004. Speed Test.mp4 13.5 MB
Chapter 4 Pandas/006. Pandas Exercise.mp4 12.9 MB
Chapter 5 SciPy/002. PDF and CDF.mp4 12.2 MB
Chapter 3 Matplotlib/006. Matplotlib Exercise.mp4 11.4 MB
Chapter 4 Pandas/005. Plotting with Pandas.mp4 11.4 MB
Chapter 4 Pandas/004. The apply() Function.mp4 10.5 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 7.8 MB
Chapter 4 Pandas/001. Pandas Section Introduction.mp4 7.8 MB
Chapter 2 NumPy/008. NumPy Exercise.mp4 6.0 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 19.5 KB
Chapter 6 Machine Learning Basics/002. What Is Classification.en.srt 19.4 KB
Chapter 6 Machine Learning Basics/003. Classification in Code.en.srt 18.9 KB
Chapter 2 NumPy/005. Matrices.en.srt 18.3 KB
Chapter 2 NumPy/002. Arrays Versus Lists.en.srt 16.5 KB
Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.en.srt 15.4 KB
Chapter 1 Welcome and Logistics/001. Introduction and Outline.en.srt 13.0 KB
Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.en.srt 12.8 KB
Chapter 2 NumPy/009. Where to Learn More NumPy.en.srt 11.6 KB
Chapter 4 Pandas/003. Selecting Rows and Columns.en.srt 11.4 KB
Chapter 5 SciPy/005. Where to Learn More SciPy.en.srt 11.4 KB
Chapter 6 Machine Learning Basics/005. Regression in Code.en.srt 11.0 KB
Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.en.srt 10.5 KB
Chapter 3 Matplotlib/005. Plotting Images.en.srt 9.7 KB
Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.en.srt 9.2 KB
Chapter 6 Machine Learning Basics/011. Machine Learning Section Summary.en.srt 9.1 KB
Chapter 2 NumPy/001. NumPy Section Introduction.en.srt 9.0 KB
Chapter 6 Machine Learning Basics/008. All Data Is the Same.en.srt 8.3 KB
Chapter 2 NumPy/003. Dot Product.en.srt 7.8 KB
Chapter 6 Machine Learning Basics/007. Machine Learning Is Nothing but Geometry.en.srt 7.1 KB
Chapter 4 Pandas/007. Where to Learn More Pandas.en.srt 6.7 KB
Chapter 3 Matplotlib/003. Scatterplot.en.srt 5.5 KB
Chapter 1 Welcome and Logistics/002. Course Resources.en.srt 5.4 KB
Chapter 2 NumPy/010. Suggestion Box.en.srt 5.4 KB
Chapter 5 SciPy/003. Convolution.en.srt 4.9 KB
Chapter 3 Matplotlib/001. Matplotlib Section Introduction.en.srt 4.4 KB
Chapter 4 Pandas/002. Loading in Data.en.srt 4.4 KB
Chapter 2 NumPy/006. Solving Linear Systems.en.srt 4.4 KB
Chapter 2 NumPy/004. Speed Test.en.srt 4.2 KB
Chapter 3 Matplotlib/002. Line Chart.en.srt 4.0 KB
Chapter 4 Pandas/006. Pandas Exercise.en.srt 3.3 KB
Chapter 5 SciPy/002. PDF and CDF.en.srt 3.3 KB
Chapter 4 Pandas/004. The apply() Function.en.srt 3.1 KB
Chapter 4 Pandas/005. Plotting with Pandas.en.srt 2.9 KB
Chapter 3 Matplotlib/006. Matplotlib Exercise.en.srt 2.6 KB
Chapter 3 Matplotlib/004. Histogram.en.srt 2.6 KB
Chapter 5 SciPy/001. SciPy Section Introduction.en.srt 2.0 KB
Chapter 4 Pandas/001. Pandas Section Introduction.en.srt 2.0 KB
Chapter 5 SciPy/004. SciPy Exercise.en.srt 1.5 KB
Chapter 2 NumPy/008. NumPy Exercise.en.srt 1.3 KB

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

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