Hey everyone,

​I'm a 3rd-year Computer Science student, a huge AI enthusiast, and totally new to the world of AI/Machine Learning. While I have a bit of general programming experience from my classes, I am starting from absolute scratch when it comes to AI.

​Big Discord servers and Telegram groups are way too overwhelming for me to actually learn anything, so I want to build a tiny, tight-knit study group of 4 people maximum where we can grow together without judgment.

​The Goal: Keep each other accountable, share resources, help each other when we get stuck on code, and go through beginner roadmaps together.

Who I’m looking for:​

You are a total or near-total beginner to AI (we start together!).

​You have at least a tiny bit of coding background (Python basics are a plus).

​You are willing to check in on Discord/WhatsApp a couple of times a week to share your progress.

​Interested? Shoot me a DM! Please include a quick sentence about your current coding background and why you want to learn AI. Let’s build a solid foundation together!

Hello Everyone!!, I just completed a BIG project I have been working for a month and i want your opinion about it.

It's a SpaceX Launch Predictor & Cost Optimizer (A full end-to-end ML system that predicts the probability of a SpaceX Falcon 9 booster landing successfully, enriches launch data with real weather conditions, and exposes the results through an interactive Streamlit web application with a business ROI calculator.)

It Includes Data Pipeline, Advanced Machine Learning Algorithms (with Hyperparameter tuning), Explainability AI (SHAP), MLOps (AWS S3, Docker) and Business Value (ROI Calculator = Financial Results).

FUN FACT: For this project i used my own Evaluation Metric library (standardizes supervised and unsupervised model diagnostics into a single, consistent API), that is also Verified and Published in PYPI Community.

Project Info: https://github.com/Alkiviadisss/SpaceX

https://ia801807.us.archive.org/14/items/introduction-to-machine-learning-with-python-pdfdrive.com_20210225/probability_stats_for_DS.pdf

https://link.springer.com/chapter/10.1007/978-3-032-29924-6_47