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
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πŸ“Œ Visual Pollen Classification Using CNNs and Vision Transformers

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 19 min read

Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology
πŸ“Œ Under the Hood: How DAX Works with Filters

πŸ—‚ Category: POWER BI

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 6 min read

Have you ever wondered how DAX works with filters in Measures? Today, I take a…
πŸ“Œ Asking for Feedback as a Data Scientist Individual Contributor

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-18 | ⏱️ Read time: 17 min read

Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you…
πŸ“Œ Unlocking Business Potential Through Effective Customer Segmentation

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-18 | ⏱️ Read time: 9 min read

Transform your data into actionable insights with customer segmentation for improved engagement and profitability
πŸ“Œ Introduction to Maximum Likelihood Estimates

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-18 | ⏱️ Read time: 9 min read

Learn about Maximum Likelihood Estimates via their application for next-word prediction
πŸ“Œ The Mystery Behind the PyTorch Automatic Mixed Precision Library

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2024-09-17 | ⏱️ Read time: 9 min read

How to get 2X speed up model training using three lines of code
πŸ“Œ Building RAGs Without A Retrieval Model Is a Terrible Mistake

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-17 | ⏱️ Read time: 10 min read

Here are my favorite techniques – one is faster, the other is more accurate.
πŸ“Œ GPU Accelerated Polars – Intuitively and Exhaustively Explained

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-17 | ⏱️ Read time: 16 min read

Fast Dataframes for Big Problems
πŸ“Œ Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-01 | ⏱️ Read time: 18 min read

Comparing model-free and model-based RL methods on a dynamic grid world
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πŸ“Œ What Makes a Great Data Business

πŸ—‚ Category: BUSINESS

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 8 min read

Including an easy-to-use data business evaluation cheat sheet
πŸ“Œ ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 38 min read

Automated data analysis made easy: The first version of ASCVIT the tool for statistical calculation,…
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πŸ“Œ OpenAI o1: Is This the Enigmatic Force That Will Reshape Every Knowledge Sector We Know?

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-09-16 | ⏱️ Read time: 7 min read

My first encounters with the o1 model
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πŸ“Œ Introducing NumPy, Part 3: Manipulating Arrays

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-15 | ⏱️ Read time: 7 min read

Shaping, transposing, joining, and splitting arrays
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πŸ“Œ Applications of Rolling Windows for Time Series, with Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-15 | ⏱️ Read time: 12 min read

Here’s some powerful applications of Rolling Windows and Time Series
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πŸ“Œ A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-15 | ⏱️ Read time: 10 min read

All you need to know about Python loops
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πŸ“Œ Build a Tokenizer for the Thai Language from Scratch

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-14 | ⏱️ Read time: 16 min read

A step-by-step guide to building a Thai multilingual sub-word tokenizer based on a BPE algorithm…
πŸ“Œ Bayesian Linear Regression: A Complete Beginner’s guide

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-14 | ⏱️ Read time: 11 min read

A workflow and code walkthrough for building a Bayesian regression model in STAN
πŸ“Œ Tips on How to Manage Large Scale Data Science Projects

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-14 | ⏱️ Read time: 7 min read

Use these tips to maximize the success of your data science project
πŸ“Œ Seven Common Causes of Data Leakage in Machine Learning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-14 | ⏱️ Read time: 8 min read

Key Steps in data preprocessing, feature engineering, and train-test splitting to prevent data leakage