| 1. A first sight to our dataset.mp4 | 82.4 MB | ||
| 1. A first sight to our dataset.srt | 11.7 KB | ||
| 1. Introduction to the course.mp4 | 11.9 MB | ||
| 1. Introduction to the course.srt | 2.9 KB | ||
| 1. Pairplots.mp4 | 123.9 MB | ||
| 1. Pairplots.srt | 15.1 KB | ||
| 1. Practical suggestions.html | 1.1 KB | ||
| 1. Sweetviz.mp4 | 112.4 MB | ||
| 1. Sweetviz.srt | 14.1 KB | ||
| 1.1 A first sight to our dataset.ipynb | 75.5 KB | ||
| 1.1 Pairplots.ipynb | 904.2 KB | ||
| 1.1 Sweetviz.ipynb | 4.5 MB | ||
| 2. Correlation matrix and histograms.mp4 | 94.3 MB | ||
| 2. Correlation matrix and histograms.srt | 11.6 KB | ||
| 2. Pandas profiling.mp4 | 68.5 MB | ||
| 2. Pandas profiling.srt | 10.1 KB | ||
| 2. Summarization.mp4 | 54.1 MB | ||
| 2. Summarization.srt | 7.5 KB | ||
| 2. What is EDA.mp4 | 28.1 MB | ||
| 2. What is EDA.srt | 5.1 KB | ||
| 2.1 Correlation matrix.ipynb | 252.4 KB | ||
| 2.1 Pandas profiling.ipynb | 2.9 MB | ||
| 2.1 Summarization.ipynb | 31 KB | ||
| 3. Histograms.mp4 | 39.1 MB | ||
| 3. Histograms.srt | 6.3 KB | ||
| 3. Stacked histograms.mp4 | 78.2 MB | ||
| 3. Stacked histograms.srt | 14.1 KB | ||
| 3. The dataset.html | 102.4 B | ||
| 3.1 Histograms.ipynb | 105.4 KB | ||
| 3.1 Stacked histograms.ipynb | 296.5 KB | ||
| 3.1 sample_dataset.csv | 97.1 KB | ||
| 4. Boxplots.mp4 | 38.1 MB | ||
| 4. Boxplots.srt | 9.2 KB | ||
| 4. Required Python packages.html | 1 KB | ||
| 4.1 Boxplot.ipynb | 34.2 KB | ||
| 5. Jupyter notebooks.mp4 | 34.6 MB | ||
| 5. Jupyter notebooks.srt | 9.8 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 39 total files | |||
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
<h
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 995 MB | freecoursewb | 11 hours | 2 | 2 | |
| 3.2 GB | freecoursewb | 6 months | 2 | 0 | |
| 1.8 GB | freecoursewb | 4 years | 0 | 0 |
All Comments