Python Numpy For Data Science (2025)

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size856.6 MB
  • Uploaded Byfreecoursewb
  • Downloads119
  • Last checkedMay. 02nd '25
  • Date uploadedMay. 01st '25
  • Seeders 17
  • Leechers14

Infohash : 93F11B52A5511A903D7A8F705E55106F2D1CC046

Python Numpy For Data Science (2025)

https://WebToolTip.com

Published 4/2025
Created by Daniel Yoo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 23m ) | Size: 856 MB

Mastering Numerical Computing Foundations for Efficient Data Analysis

What you'll learn
Master the core features of NumPy, including arrays, indexing, slicing, reshaping, and broadcasting.
Write efficient, vectorized Python code for numerical and data-driven tasks, avoiding slow loops.
Apply NumPy to real-world data science workflows, including descriptive statistics, simulations, and linear algebra operations
Build a strong foundation for advanced data science libraries like pandas, scikit-learn, and TensorFlow by understanding NumPy under the hood.

Requirements
No Programming Experience Needed: You will learn everything you need to know throughout the course.

Files:

[ FreeCourseWeb.com ] Python Numpy For Data Science (2025)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 -Course_Python_Numpy_For_Data_Science.ipynb (895.5 KB)
    • 1 -Introduction.mp4 (9.8 MB)
    10 - Visualizations
    • 1 -Plotting with Numpy.mp4 (30.5 MB)
    11 - Numpy and its use in Machine Learning and Data Science
    • 1 -Numpy and its use in Machine Learning and Data Science Applications.mp4 (79.1 MB)
    2 - Numpy Arrays
    • 1 -Numpy Arrays and Manipulation.mp4 (106.1 MB)
    • 2 -Array Indexing and Slicing.mp4 (99.3 MB)
    • 3 -Comparing Numpy Arrays and Numpy Special Values.mp4 (20.3 MB)
    3 - Numpy Dates and Set Operations
    • 1 -Numpy Dates and Set Operations.mp4 (55.1 MB)
    4 - Vectorized Operations
    • 1 -Vectorized Operations.mp4 (92.7 MB)
    • 2 -Vectorized Operations Continued.mp4 (48.2 MB)
    5 - Inferential Statistics and Universal Functions
    • 1 -Inferential Statistics and Universal Functions.mp4 (51.1 MB)
    6 - Performance Optimization
    • 1 -Performance Optimization For loops vs Vectorization.mp4 (26.7 MB)
    7 - Linear Algebra
    • 1 -Major Ideas from Linear Algebra.mp4 (113.1 MB)
    8 - Sequences and Random Number Generation
    • 1 -Sequences and Random Numbers arange, linspace, and random number generation.mp4 (79.1 MB)
    9 - Working with Missing Data
    • 1 -Dealing with missing values and basic imputation techniques.mp4 (44.8 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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