Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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πŸ“Œ Feature Detection, Part 2: Laplace & Gaussian Operators

πŸ—‚ Category: COMPUTER VISION

πŸ•’ Date: 2025-11-12 | ⏱️ Read time: 12 min read

Laplace meets Gaussian β€” the story of two operators in edge detection

#DataScience #AI #Python
πŸ“Œ Robotics with Python: Q-Learning vs Actor-Critic vs Evolutionary Algorithms

πŸ—‚ Category: Uncategorized

πŸ•’ Date: 2025-11-13 | ⏱️ Read time: 15 min read

Explore the intersection of Python and robotics in this deep dive into reinforcement learning algorithms. The article compares the trade-offs, strengths, and weaknesses of Q-Learning, Actor-Critic, and Evolutionary Algorithms for robotic control tasks. Learn how to apply these concepts by building a custom 3D environment to train and test your own RL-powered robot, providing a practical understanding of which technique to choose for your specific application.

#Python #Robotics #ReinforcementLearning #MachineLearning #AI
πŸ“Œ Spearman Correlation Coefficient for When Pearson Isn’t Enough

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-11-13 | ⏱️ Read time: 7 min read

Not all relationships are linear, and that is where Spearman comes in.

#DataScience #AI #Python
πŸ“Œ Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-11-14 | ⏱️ Read time: 10 min read

This is how to build an AI-powered Song Explainer using Python and OpenAI

#DataScience #AI #Python
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πŸ“Œ The Absolute Beginner’s Guide to Pandas DataFrames

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-11-17 | ⏱️ Read time: 5 min read

New to the Pandas library? This beginner's guide covers the fundamental skill of creating DataFrames. Learn the essential techniques to initialize a DataFrame from common Python data structures, including dictionaries, lists, and NumPy arrays. Mastering this core concept is the perfect first step for anyone starting their data analysis journey in Python.

#Python #Pandas #DataAnalysis #DataFrames
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πŸ“Œ Javascript Fatigue: HTMX is all you need to build ChatGPT β€” Part 1

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-11-17 | ⏱️ Read time: 12 min read

Tired of complex JavaScript frameworks? This article demonstrates how to build a dynamic, ChatGPT-style chatbot using a simpler stack. Learn how to leverage the power of HTMX, Python, and standard HTML to create a modern web application while minimizing your reliance on JavaScript. This first part of a series sets the foundation for building interactive UIs with a backend-centric approach, directly addressing the common issue of JavaScript fatigue.

#HTMX #Python #WebDevelopment #JavaScriptFatigue
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πŸ“Œ PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-11-19 | ⏱️ Read time: 14 min read

Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework.

#PyTorch #MachineLearning #NeuralNetwork #Regression #Python
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πŸ“Œ Data Visualization Explained (Part 5): Visualizing Time-Series Data in Python (Matplotlib, Plotly, and Altair)

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-11-20 | ⏱️ Read time: 12 min read

Master time-series data visualization in Python with this in-depth guide. The article offers a practical exploration of plotting temporal data, complete with detailed code examples. Learn how to effectively leverage popular libraries like Matplotlib, Plotly, and Altair to create insightful and compelling visualizations for your data science projects.

#DataVisualization #Python #TimeSeries #DataScience
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πŸ“Œ Why I’m Making the Switch to marimo Notebooks

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-11-20 | ⏱️ Read time: 11 min read

A new contender is emerging in the computational notebook space. Titled marimo, this tool offers a "fresh way to think" about interactive programming and data science workflows, challenging the established paradigms of tools like Jupyter. The author discusses their personal decision to make the switch, highlighting the innovative approach and potential benefits that marimo brings to developers and data scientists looking for a more modern and reactive notebook experience.

#marimo #ComputationalNotebooks #DataScience #Python #DeveloperTools
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πŸ“Œ Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-11-21 | ⏱️ Read time: 7 min read

Struggling with slow data workflows as your datasets grow? This hands-on tutorial demonstrates how to leverage the power of modern DataFrame tools, Polars and DuckDB, to significantly boost performance in Python. Learn practical techniques to handle larger data volumes efficiently and keep your entire workflow from slowing down.

#Python #Polars #DuckDB #DataEngineering
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