🚀 Open-sourced my Lead Collector & Auto Follow-Up System.
Python + Web Scraping + ML + Email Automation.
It collects leads, scores them with ML, and automates follow-ups.
The project is still evolving. Looking for contributors 🤝
improvements welcome.
Repo link in first cmnt
Building my developer portfolio from scratch with FastAPI
Aiming for clean architecture and low latency to showcase interactive ML demos and data science projects directly on the web.
Stack:
• @FastAPI / Python • @scikit_learn / SciPy •@PostgreSQL • Jinja2
#webapp#AI
Data → Intelligence → Action
Breaking down the Data Science process and architecture from data collection and feature engineering to modeling, validation, and real-world decisions.
Understanding the pipeline makes the bigger picture much clearer.
#DataScience#MachineLearning
Got this windows laptop as a secondary machine.
Planning to use linux on this, please recommend which distro would be best for a person new to linux.
#linux
🚀 Open-sourced my Lead Collector & Auto Follow-Up System.
Python + Web Scraping + ML + Email Automation.
It collects leads, scores them with ML, and automates follow-ups.
The project is still evolving. Looking for contributors 🤝
improvements welcome.
Repo link in first cmnt
My first research paper is officially underway. 🧠
“Evaluating LLMs for Automated EDA & NLP Based Data Querying.”
Can LLMs actually turn raw data into reliable insights or just generate convincing-looking analysis?
Time to find out.
#AI#LLM#DataScience#Research#EDA
@CodeWithKolin@hackerrank Appreciate that yeah, the gate is the product. Everything else (categorization, charts, exports) is commodity at this point. The hard part is getting the agent to actually trust its own "safe to spend" call.
A simple data analytics lesson:
Correlation ≠ causation.
Revenue ↑
Ad spend ↑
Does more ad spend cause more revenue?Maybe.
Without accounting for seasonality, pricing, promotions, and other variables, you’re only seeing a pattern not proving a cause.
#DataAnalytics