1404-04-27

Date: 1404-04-27

Time: 8:30 PM to 10:00 PM

Facilitator: Mehrdad

📌 Agenda

We reviewed the progress of the probability course. Participants asked several questions, which have all been answered and documented in the QA section.
Regarding the workload for next week, we agreed that watching 10 videos is too much. Instead, we will aim to watch 6 or 7 videos.
For the Hands-On Machine Learning book, the plan is to read up to page 45 and set up the development environment accordingly.
Those with available time are encouraged to start exploring Python libraries like pandas and numpy and matplotlib. Relevant resources and exercises have been shared.
On note-taking, we agreed that everyone can collect their notes individually and later merge them into a combined version. Uploading PDFs and other file types is also supported.
We discussed the site structure and future improvements;
🔥 As a symbolic act, the .NET repository was deleted during the meeting in front of everyone.
🐦‍🔥 This was followed by replacing it with a new, well-organized, cleaned-up repository — marking a rebirth of the project and a fresh start for us all.
A brief history of the .NET project was shared, covering how it started, its values, challenges faced, motivation factors, and the final project outcome.
Links to the GitHub repositories for the course, the site, and the end projects were shared, encouraging everyone to explore them.

Next week’s video watching target is set to 6-7 videos instead of 10.
Reading assignment for the Hands-On ML book is up to page 45, along with environment setup.
Members with time can begin working on Python basics (pandas, numpy, matplotlib), using the shared resources.
Note-taking will be collaborative: gather notes individually, then merge periodically.
The site structure will be updated based on feedback.

Task Description	Assigned To	Related Topic	Due Date
Watch lessons 15–21 of Statistics	Everyone	Math Foundations	1404-05-03
Read the introduction chapter of [Hands-On ML] and part of chapter 2 (up to page 45) (https://github.com/ageron/handson-ml3)	Everyone	Intro to ML	1404-05-03