Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 Advice from 15 Top Data Scientists

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 8 min read

Going over the main skills you need to be a “good” data scientist
📌 A Data Scientist’s Guide to Stakeholders

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 8 min read

How data scientists can best communicate with non-DS people
📌 Mastering Marketing Mix Modelling In Python

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-26 | ⏱️ Read time: 24 min read

Part 1 of a hands-on guide to help you master MMM in pymc
📌 The Pareto Principle in Data Engineering

🗂 Category: ANALYTICS

🕒 Date: 2024-09-26 | ⏱️ Read time: 7 min read

One step forward; no steps back
📌 The Art of Tokenization: Breaking Down Text for AI

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-09-26 | ⏱️ Read time: 11 min read

Demystifying NLP: From Text to Embeddings
📌 A Close Look at AI Pain Points, and How to (Sometimes) Resolve Them

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
📌 Beyond Line and Bar Charts: 7 Less Common But Powerful Visualization Types

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 13 min read

Step up your data storytelling game with these creative and insightful visualizations
📌 From Zero to App: Building a Database-Driven Streamlit App with Python

🗂 Category: PROGRAMMING

🕒 Date: 2024-09-26 | ⏱️ Read time: 6 min read

A beginner’s guide to build a functional Streamlit App with SQLite Integration
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📌 Make Your Way from Pandas to PySpark

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 9 min read

Learn a few basic commands to start transitioning from Pandas to PySpark
📌 Hyperparameter Optimization with Genetic Algorithms – A Hands-On Tutorial

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 13 min read

A step-by-step tutorial of using genetic algorithms for optimization tasks.
📌 How to Make Your Data Science/ML Engineer Workflow More Effective

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 5 min read

Learn how you can use VS Code interactive window to program more effectively
📌 LLM Fine-tuning – FAQs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-09-26 | ⏱️ Read time: 8 min read

Answering the most common questions I received as an AI consultant
📌 Working with Embeddings: Closed versus Open Source

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-26 | ⏱️ Read time: 20 min read

Using techniques to improve semantic search
📌 Dummy Regressor, Explained: A Visual Guide with Code Examples for Beginners

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 7 min read

Naively choosing the best number for all of your prediction
📌 Preparing Video Data for Deep Learning: Introducing Vid Prepper

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-09-29 | ⏱️ Read time: 13 min read

A guide to fast video data preprocessing for machine learning
📌 I Made My AI Model 84% Smaller and It Got Better, Not Worse

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-29 | ⏱️ Read time: 20 min read

The counterintuitive approach to AI optimization that’s changing how we deploy models
📌 MCP in Practice

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-29 | ⏱️ Read time: 14 min read

Mapping power, concentration, and usage in the emerging AI developer ecosystem
📌 Simulate the Challenges of a Circular Economy for Fashion Retail

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 17 min read

Use data analytics to simulate a circular rental model for fashion retail and understand store…
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📌 VisionTS: Building Superior Forecasting Models from Images

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-26 | ⏱️ Read time: 9 min read

Leveraging the power of images for time-series forecasting