https://github.com/galal-pic/the-data-analysis-workshop

“A very special book on data analysis, containing 10 different projects using statistics, probability, Python, visualization, and various machine learning and deep learning models.” With a detailed explanation of them on my YouTube channel
https://github.com/galal-pic/the-data-analysis-workshop

matplotlib probability python seaborn statistics storytelling time-series visualization

Last synced: about 2 months ago
JSON representation

“A very special book on data analysis, containing 10 different projects using statistics, probability, Python, visualization, and various machine learning and deep learning models.” With a detailed explanation of them on my YouTube channel

• Host: GitHub
• URL: https://github.com/galal-pic/the-data-analysis-workshop
• Owner: Galal-pic
• Created: 2024-02-18T01:41:21.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-15T19:46:32.000Z (almost 2 years ago)
• Last Synced: 2025-04-09T18:14:02.720Z (about 1 year ago)
• Topics: matplotlib, probability, python, seaborn, statistics, storytelling, time-series, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 3.99 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# The-Data-Analysis-Workshop

An exceptional book on data analysis featuring 10 distinct projects spanning statistics, probability, Python programming, and visualization techniques, as well as a variety of machine learning and deep learning models. Accompanied by in-depth explanations available on my YouTube channel, each project provides comprehensive insights and practical applications. The projects encompass

1. Bike Sharing Analysis

2. Absenteeism at Work

3. Analyzing Bank Marketing Campaign Data

4. Tackling Company Bankruptcy

5. Analyzing the Online Shopper's Purchasing Intention

6. Analysis of Credit Card Defaulters

7. Analyzing the Heart Disease Dataset

8. Analyzing Online Retail II Dataset

9. Analysis of the Energy Consumed by Appliances

10. Analyzing Air Quality

![OYRtHXkRfLRh9epQps1w_B15760_Lowres_jpg](https://github.com/Galal-pic/The-Data-Analysis-Workshop/assets/70837846/b8511ae9-1e8b-4bf4-a8cc-de35f160a589)