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 How to Create a Customized GenAI Video in 3 Simple Steps

πŸ—‚ Category:

πŸ•’ Date: 2025-01-07 | ⏱️ Read time: 15 min read

Put a real-world object into fully AI-generated 4D scenes with minimal effort, so that it…
πŸ“Œ Airflow Data Intervals: A Deep Dive

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-01-07 | ⏱️ Read time: 10 min read

Building idempotent and re-playable data pipelines
πŸ“Œ All The SQL a Data Scientist Needs to Know

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-07 | ⏱️ Read time: 12 min read

What you need to know, best practices, and where you can practice your skills
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πŸ“Œ Easy Map Boundary Extraction with GeoPandas

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-01-07 | ⏱️ Read time: 8 min read

How to visualize country borders with Python
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πŸ“Œ The Build vs. Buy Dilemma for GenAI Applications

πŸ—‚ Category: STRATEGY

πŸ•’ Date: 2025-01-07 | ⏱️ Read time: 6 min read

A strategic guide to build vs. buy for GenAI
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πŸ“Œ An Overview of Feature Selection

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-07 | ⏱️ Read time: 28 min read

With a presentation of a rarely used, highly effective method for establishing the predictive power…
πŸ“Œ Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed

πŸ—‚ Category: CODING

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 13 min read

Simple concepts that differentiate a professional from amateurs
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πŸ“Œ In Defense of Statistical Significance

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 6 min read

We have to draw the line somewhere
πŸ“Œ AI Agents Hype, Explained – What You Really Need to Know to Get Started

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 6 min read

I’ll set the record straight – AI Agents are not new but advanced. Learn how…
πŸ“Œ The State of Quantum Computing: Where Are We Today?

πŸ—‚ Category: SCIENCE AND TECHNOLOGY

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 8 min read

And what we need to overcome
πŸ“Œ Understanding the Evolution of ChatGPT: Part 1-An In-Depth Look at GPT-1 and What Inspired It

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 11 min read

Tracing the roots of ChatGPT: GPT-1, the foundation of OpenAI’s LLMs
πŸ“Œ Meet GPT, The Decoder-Only Transformer

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 31 min read

Understanding and implementing the GPT-1, GPT-2 and GPT-3 architectures
πŸ“Œ Why Variable Scoping Can Make or Break Your Data Science Workflow

πŸ—‚ Category:

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 7 min read

Let’s kick off 2025 by writing some clean code together
πŸ“Œ Measuring The Execution Times of C Versus Rust

πŸ—‚ Category:

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 15 min read

Is C is faster than Rust? I had always assumed the answer to that question…
πŸ“Œ Google’s Willow Quantum Computing Chip: A Game Changer?

πŸ—‚ Category: PHYSICS

πŸ•’ Date: 2025-01-06 | ⏱️ Read time: 12 min read

Suppressing Logical Errors Exponentially! For the First Time
πŸ“Œ Predicting a Ball Trajectory

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-05 | ⏱️ Read time: 7 min read

Polynomial Fit in Python with NumPy
πŸ“Œ Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-05 | ⏱️ Read time: 10 min read

Is there ever a good reason for starting a bar chart above zero?
πŸ“Œ Journey to Full-Stack Data Scientist: Model Deployment

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-04 | ⏱️ Read time: 11 min read

An introduction to productionizing a machine learning model using APIs and Docker.
πŸ“Œ The Next Frontier in LLM Accuracy

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-04 | ⏱️ Read time: 21 min read

Exploring the Power of Lamini Memory Tuning
πŸ“Œ Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-04 | ⏱️ Read time: 13 min read

Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python)
πŸ“Œ How to Tell Among Two Regression Models with Statistical Significance

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-03 | ⏱️ Read time: 9 min read

Diving into the F-test for nested models with algorithms, examples and code