Machine Learning
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Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify

🗂 Category: PROGRAMMING

🕒 Date: 2025-09-18 | ⏱️ Read time: 8 min read

All ideas can be turned into action in a matter of time now.
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📌 From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-18 | ⏱️ Read time: 17 min read

Learn the basics of JavaScript through tiny n8n Code node snippets for sales data analytics
📌 Rapid Prototyping of Chatbots with Streamlit and Chainlit

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-18 | ⏱️ Read time: 12 min read

End-to-end demos, comparison of pros and cons, and practical recommendations
📌 From Amnesia to Awareness: Giving Retrieval-Only Chatbots Memory

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-18 | ⏱️ Read time: 6 min read

Achieve natural multi-turn conversations without sacrificing content control.
📌 Combining Large and Small LLMs to Boost Inference Time and Quality

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-05 | ⏱️ Read time: 8 min read

Implementing Speculative and Contrastive Decoding
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📌 SQL vs. Calculators: Building Champion/Challenger Tests from Scratch

🗂 Category: ANALYTICS

🕒 Date: 2024-12-04 | ⏱️ Read time: 14 min read

In depth SQL code for creating your own statistical test design
📌 TDS Newsletter: How to Make Smarter Business Decisions with AI

🗂 Category: THE VARIABLE

🕒 Date: 2025-09-18 | ⏱️ Read time: 3 min read

Research agents, budget planners, and more
📌 TDS Newsletter: What You Need to Know About LLMs for Data Science

🗂 Category: THE VARIABLE

🕒 Date: 2025-09-11 | ⏱️ Read time: 3 min read

How new tools are transforming data scientists’ essential workflows
📌 The Arcane Network

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read

How to use network science and Python to map out the popular show
📌 From Code to Paper: Using GPT Models and Python to Generate Scientific LaTeX Documents

🗂 Category: CHATGPT

🕒 Date: 2024-12-02 | ⏱️ Read time: 13 min read

Automating Scientific Code Documentation: A GPT-Powered POC for Streamlined Workflows
📌 Google Gemini Is Entering the Advent of Code Challenge

🗂 Category: CHATGPT

🕒 Date: 2024-12-02 | ⏱️ Read time: 8 min read

An open-source project to explore the capabilities and limitations of LLMs on coding challenges
📌 Modeling DAU with Markov Chain

🗂 Category:

🕒 Date: 2024-12-02 | ⏱️ Read time: 23 min read

How to predict DAU using Duolingo’s growth model and control the prediction
📌 Smaller Is Smarter

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-01 | ⏱️ Read time: 4 min read

Do you really need the power of top LLMs for a tiramisu recipe in Shakespearean…
📌 The Lead, Shadow, and Sparring Roles in New Data Settings

🗂 Category:

🕒 Date: 2024-12-01 | ⏱️ Read time: 10 min read

From data engineer to domain expert-what it takes to build a new data platform
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📌 How to Solve a Simple Problem With Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-01 | ⏱️ Read time: 8 min read

A technical walkthrough of lesson one
📌 Making News Recommendations Explainable with Large Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-30 | ⏱️ Read time: 7 min read

A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization.
📌 Grokking Behavioral Interviews

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-30 | ⏱️ Read time: 8 min read

Master the art of behavioral interviews and land your dream job
📌 Model Validation Techniques, Explained: A Visual Guide with Code Examples

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-30 | ⏱️ Read time: 28 min read

12 must-know methods to validate your machine learning
📌 Dunder Methods: The Hidden Gems of Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-30 | ⏱️ Read time: 9 min read

Real-world examples on how actively using special methods can simplify coding and improve readability