Udemy - NumPy, SciPy, Matplotlib and Pandas A-Z - Machine Learning

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[ DevCourseWeb.com ] Udemy - NumPy, SciPy, Matplotlib and Pandas A-Z - Machine Learning
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction of Python Numpy.mp4 (30.5 MB)
    • 2. Introduction of Numpy Random.mp4 (42.3 MB)
    • 3. Introduction of NumPy ufunc.mp4 (30.3 MB)
    • 4. Introduction of Pyton Pandas.mp4 (28.1 MB)
    2. Python Numpy
    • 1. Numpy Creating Arrays.mp4 (46.2 MB)
    • 2. Numpy Array Indexing.mp4 (29.5 MB)
    • 3. Numpy Array Slicing.mp4 (36.7 MB)
    • 4. Numpy Data Types.mp4 (45.7 MB)
    • 5. Numpy Array Shape.mp4 (41.4 MB)
    • 6. Numpy Array Reshaping.mp4 (41.4 MB)
    3. NumPy Random
    • 1. Numpy Random Data Distribution.mp4 (37.2 MB)
    • 2. Numpy Random Permutations.mp4 (49.6 MB)
    • 3. Numpy Seaborn.mp4 (32.4 MB)
    • 4. Numpy Normal Distribution.mp4 (41.6 MB)
    • 5. Numpy Binomial Distribution.mp4 (63.0 MB)
    • 6. Numpy Poisson Distribution.mp4 (51.8 MB)
    • 7. Numpy Uniform Distribution.mp4 (37.9 MB)
    4. NumPy ufunc
    • 1. NumPy ufunc Create.mp4 (36.0 MB)
    • 2. NumPy ufunc Simple Arithmetic.mp4 (52.1 MB)
    • 3. NumPy ufunc Rounding Decimals.mp4 (33.4 MB)
    • 4. NumPy ufunc Logs.mp4 (38.3 MB)
    • 5. NumPy ufunc Summations.mp4 (38.7 MB)
    • 6. NumPy ufunc Products.mp4 (41.1 MB)
    5. Python Pandas
    • 1. Pandas Series.mp4 (42.0 MB)
    • 2. Pandas DataFrames.mp4 (48.5 MB)
    • 3. Pandas Read CSV.mp4 (42.4 MB)
    • 4. Pandas Read JSON.mp4 (47.6 MB)
    • 5. Pandas Analyzing DataFrames.mp4 (38.0 MB)
    • Bonus Resources.txt (0.4 KB)

Description

NumPy, SciPy, Matplotlib & Pandas A-Z: Machine Learning

https://DevCourseWeb.com

Published 11/2023
Created by Sara Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 28 Lectures ( 3h 30m ) | Size: 1.1 GB

NumPy | SciPy | Matplotlib | Pandas | Machine Learning | Data Science | Deep Learning | Pre-Machine Learning Analysis

What you'll learn
Solid foundation in Python programming, data types, loops, conditionals, functions and more
Create and analyze projects via Python NumPy, SciPy, Matplotlib & Pandas
Clean data with pandas Series and DataFrames
Master data visualization
Understanding the NumPy library to efficiently work with arrays, matrices, and perform mathematical operations.
Go from absolute beginner to become a confident Python NumPy, Pandas and Matplotlib user

Requirements
No specific knowledge needed



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1.1 GB
seeders:19
leechers:14
Udemy - NumPy, SciPy, Matplotlib and Pandas A-Z - Machine Learning
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