https://github.com/muhammadibrahim313/start-your-data-science-journey

In this Repo i will be Sharing all Resources that we will be Learning during December Data Science Workhops on iCode Guru
https://github.com/muhammadibrahim313/start-your-data-science-journey

btajicrew data data-science eda icodeguru machine-learning matplotlib pandas python

Last synced: about 2 months ago
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In this Repo i will be Sharing all Resources that we will be Learning during December Data Science Workhops on iCode Guru

Host: GitHub
URL: https://github.com/muhammadibrahim313/start-your-data-science-journey
Owner: muhammadibrahim313
Created: 2024-12-09T10:41:12.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-12-29T11:25:37.000Z (5 months ago)
Last Synced: 2025-02-14T16:41:10.010Z (3 months ago)
Topics: btajicrew, data, data-science, eda, icodeguru, machine-learning, matplotlib, pandas, python
Language: Jupyter Notebook
Homepage: https://www.linkedin.com/in/ibrahimqasmi313/
Size: 40.2 MB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# Start Your Data Science Journey Workshops Resources

## Workshop 1
- **Date:** 8th December
- **Topic:** Start Your Data Science Journey with EDA
- **Key Discussions:**
- Virtual environments
- EDA approach (theoretical)
- Pandas library
- **Resources:**
- Materials available in Workshop 1 folder
- Recording link : https://www.facebook.com/share/v/15JDREYpUN/

## Workshop 2
- **Topic:** Data Science Journey - Part 2
- **Focus Areas:**
- Data visualization libraries
- Seaborn
- Matplotlib
- Practical project by Sir Asim Khan
- Applying theoretical knowledge to real dataset
- **Resources:**
- All materials in Workshop 2 folder
- Recording link : https://fb.watch/wx1eGIFqW-/
## Workshop 3
- **Date:** 22nd December
- **Topic:** Mastering Data Analysis: From Raw Data to Valuable Insights
- **Key Discussions:**
- Virtual environments
- How to Read your Meta data
- Complete END TO END project
- Auto EDA Techniques with custom functions nad sweetviz and pandas profilling
- **Resources:**
- Materials available in Workshop 3 folder
- Recording link : https://www.facebook.com/share/v/1BPeMFVztF/
## Workshop 4
- **Date:** 29th December
- **Topic:** Building a Pre-processing Pipeline for Machine Learning Modeling
- **Key Discussions:**
- Missing Values (Custom Function)
- Outliers
- Scalling and Standardisation
- Encoding

- **Resources:**
- Materials available in Workshop 4 folder
- Recording link : https://web.facebook.com/share/v/1BRLDjwwH5/