📌 Predicting a Ball Trajectory

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-05 | ⏱️ Read time: 7 min read

Polynomial Fit in Python with NumPy

📌 Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-05 | ⏱️ Read time: 10 min read

Is there ever a good reason for starting a bar chart above zero?

📌 Journey to Full-Stack Data Scientist: Model Deployment

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 11 min read

An introduction to productionizing a machine learning model using APIs and Docker.

📌 The Next Frontier in LLM Accuracy

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 21 min read

Exploring the Power of Lamini Memory Tuning

📌 Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-04 | ⏱️ Read time: 13 min read

Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python)

📌 How to Tell Among Two Regression Models with Statistical Significance

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 9 min read

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

📌 The Cultural Impact of AI Generated Content: Part 2

🗂 Category:

🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read

What can we do about the increasingly sophisticated AI generated content in our lives?

📌 Non-Technical Principles All Data Scientists Should Have

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 13 min read

Making you a better data scientist, and enhancing your career.

📌 What I’m Updating in My AI Ethics Class for 2025

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 12 min read

What happened in 2024 that is new and significant in the world of AI ethics?

📌 Integrating Feature Selection into the Model Estimation

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read

Combining mixture of normal regressions with in-built feature selection into powerful modeling tool

📌 Harnessing Polars and Geopandas to Generate Millions of Transects in Seconds

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read

Making the bears play nice

📌 Demand Forecasting with Darts: A Tutorial

🗂 Category:

🕒 Date: 2025-01-02 | ⏱️ Read time: 19 min read

A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE…

📌 The Fallacy of Complacent Distroless Containers

🗂 Category: SECURITY AND PRIVACY

🕒 Date: 2025-01-02 | ⏱️ Read time: 6 min read

Making containers smaller is the most popular practice when reducing your attack surface. But how…

📌 How to Stand Out in The Data Science Job Market

🗂 Category: CAREER ADVICE

🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read

How to have the edge in your data science application

📌 Data Engineering – ORM and ODM with Python

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read

Manipulate database data leveraging an object-oriented programming paradigm

📌 Start a New Year of Learning on the Right Foot

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-02 | ⏱️ Read time: 4 min read

A special edition of must-read articles and resources to help you kick off a productive…

📌 How I Built a Real-Time Weather Data Pipeline Using AWS-Entirely Serverless

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-02 | ⏱️ Read time: 8 min read

A practical guide to leveraging AWS Lambda, Kinesis, and DynamoDB for real-time insights

📌 How to Process 10k Images in Seconds

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read

Efficient image operations with multiprocessing in Python

📌 5 Simple Projects to Start Today: A Learning Roadmap for Data Engineering

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-02 | ⏱️ Read time: 11 min read

Start with 5 practical projects to lay the foundation for your data engineering roadmap.

📌 Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 12 min read

Full explanation on Linear Regression and how it learns

📌 AI-Powered Information Extraction and Matchmaking

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-01 | ⏱️ Read time: 34 min read

Developing an application for extracting key profile information from CVs and recommending jobs aligned with…