[ FreeCourseWeb.com ] Python Numpy For Data Science (2025)

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  • Get Bonus Downloads Here.url 183 B
    ~Get Your Files Here !/1 - Introduction/1 -Course_Python_Numpy_For_Data_Science.ipynb 895.51 KB
    ~Get Your Files Here !/1 - Introduction/1 -Introduction.mp4 9.82 MB
    ~Get Your Files Here !/10 - Visualizations/1 -Plotting with Numpy.mp4 30.49 MB
    ~Get Your Files Here !/11 - Numpy and its use in Machine Learning and Data Science/1 -Numpy and its use in Machine Learning and Data Science Applications.mp4 79.12 MB
    ~Get Your Files Here !/2 - Numpy Arrays/1 -Numpy Arrays and Manipulation.mp4 106.07 MB
    ~Get Your Files Here !/2 - Numpy Arrays/2 -Array Indexing and Slicing.mp4 99.26 MB
    ~Get Your Files Here !/2 - Numpy Arrays/3 -Comparing Numpy Arrays and Numpy Special Values.mp4 20.33 MB
    ~Get Your Files Here !/3 - Numpy Dates and Set Operations/1 -Numpy Dates and Set Operations.mp4 55.1 MB
    ~Get Your Files Here !/4 - Vectorized Operations/1 -Vectorized Operations.mp4 92.72 MB
    ~Get Your Files Here !/4 - Vectorized Operations/2 -Vectorized Operations Continued.mp4 48.17 MB
    ~Get Your Files Here !/5 - Inferential Statistics and Universal Functions/1 -Inferential Statistics and Universal Functions.mp4 51.07 MB
    ~Get Your Files Here !/6 - Performance Optimization/1 -Performance Optimization For loops vs Vectorization.mp4 26.69 MB
    ~Get Your Files Here !/7 - Linear Algebra/1 -Major Ideas from Linear Algebra.mp4 113.08 MB
    ~Get Your Files Here !/8 - Sequences and Random Number Generation/1 -Sequences and Random Numbers arange, linspace, and random number generation.mp4 79.09 MB
    ~Get Your Files Here !/9 - Working with Missing Data/1 -Dealing with missing values and basic imputation techniques.mp4 44.78 MB
    ~Get Your Files Here !/Bonus Resources.txt 70 B

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