Udemy - Exploratory Data Analysis in Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size774.9 MB
  • Uploaded Byfreecoursewb
  • Downloads50
  • Last checkedJun. 04th '22
  • Date uploadedJun. 03rd '22
  • Seeders 13
  • Leechers9

Infohash : B7411DDD7FEC897F30AAFA1CE6EB0B70CE86C9F5

Exploratory Data Analysis in Python



https://DevCourseWeb.com

Instructors: Gianluca Malato
5 sections • 15 lectures • 1h 50m total length
Video: MP4 1280x720 44 KHz | English + Sub
Updated 10/2021 | Size: 775 MB

A course about how to approach a dataset for the first time

What you'll learn
Exploring a dataset for calculating overall statistics
Visualize the correlations between the features
Visualize the predictive power of the features
Create useful insights from a dataset

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Files:

[ DevCourseWeb.com ] Udemy - Exploratory Data Analysis in Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction to the course.mp4 (11.9 MB)
    • 1. Introduction to the course.srt (2.9 KB)
    • 2. What is EDA.mp4 (28.1 MB)
    • 2. What is EDA.srt (5.1 KB)
    • 3. The dataset.html (0.1 KB)
    • 3.1 sample_dataset.csv (97.1 KB)
    • 4. Required Python packages.html (1.0 KB)
    • 5. Jupyter notebooks.mp4 (34.6 MB)
    • 5. Jupyter notebooks.srt (9.8 KB)
    2. Univariate analysis
    • 1. A first sight to our dataset.mp4 (82.4 MB)
    • 1. A first sight to our dataset.srt (11.7 KB)
    • 1.1 A first sight to our dataset.ipynb (75.5 KB)
    • 2. Summarization.mp4 (54.1 MB)
    • 2. Summarization.srt (7.5 KB)
    • 2.1 Summarization.ipynb (31.0 KB)
    • 3. Histograms.mp4 (39.1 MB)
    • 3. Histograms.srt (6.3 KB)
    • 3.1 Histograms.ipynb (105.4 KB)
    • 4. Boxplots.mp4 (38.1 MB)
    • 4. Boxplots.srt (9.2 KB)
    • 4.1 Boxplot.ipynb (34.2 KB)
    3. Multivariate analysis
    • 1. Pairplots.mp4 (123.9 MB)
    • 1. Pairplots.srt (15.1 KB)
    • 1.1 Pairplots.ipynb (904.2 KB)
    • 2. Correlation matrix and histograms.mp4 (94.3 MB)
    • 2. Correlation matrix and histograms.srt (11.6 KB)
    • 2.1 Correlation matrix.ipynb (252.4 KB)
    • 3. Stacked histograms.mp4 (78.2 MB)
    • 3. Stacked histograms.srt (14.1 KB)
    • 3.1 Stacked histograms.ipynb (296.5 KB)
    4. Some useful libraries
    • 1. Sweetviz.mp4 (112.4 MB)
    • 1. Sweetviz.srt (14.1 KB)
    • 1.1 Sweetviz.ipynb (4.5 MB)
    • 2. Pandas profiling.mp4 (68.5 MB)
    • 2. Pandas profiling.srt (10.1 KB)
    • 2.1 Pandas profiling.ipynb (2.9 MB)
    5. General guidelines
    • 1. Practical suggestions.html (1.1 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

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