#feature-engineering

HUM AI SCI

KA Katerina Henclova · Data Science Collective

The Problem of Predictive Multiplicity And How GEMSS Deals With It

When your data has more than one story to tell, an ordinary feature selector will pick one and never mention the rest. GEMSS hands you the…

Aug 11, 2026 · 10 min read · 1 claps #data-science #towards-data-science #machine-learning

AI ECO HUM SCI

NA Nayab Bhutta · InsiderFinance Wire

Turning News Headlines Into Trading Signals Using NLP Models

How Natural Language Processing Can Transform Financial News Into Quantitative Trading Signals

Jul 12, 2026 · 6 min read · 50 claps #artificial-intelligence #machine-learning #data-science

AI HUM SCI

DI Dima Iakubovskyi · Data And Beyond

When Your Feature Importance Is Lying to You

Here, I hid the ground truth in a dataset, then watched scikit-learn’s most popular importance metric rank a column of random ID numbers…

Jul 09, 2026 · 7 min read · 50 claps paywalled #feature-engineering #data-science #machine-learning

ECO HUM AI TCH SCI

NA Nayab Bhutta · InsiderFinance Wire

Can AI Detect Market Crashes Before They Happen? I Tried to Find Out

The Data Experiment That Challenged Everything I Thought About Predicting Financial Crises

Jul 07, 2026 · 7 min read · 62 claps #machine-learning #algorithmic-trading #risk-management

AI TCH SCI

RA Rakshath · Artificial Intelligence in Plain English

Data Cleaning Techniques for Improved AI Predictions.

A hands-on guide to transforming raw data into a clean, analysis-ready dataset using practical data cleaning workflows in Pandas.

Jul 07, 2026 · 12 min read · 0 claps #python-programming #pandas #data-science

TCH HUM AI

NE Neha Manoj

From Network Packets to Threat Detection: Building Security Systems End-to-End

In the ever-evolving landscape of cybersecurity, building effective threat detection systems requires a holistic approach from capturing…

Jun 26, 2026 · 4 min read · 0 claps #nfv #packet-analysis #machine-learning

HUM LIF AI SCI

DE Debayan Bose

Elegance: The way to stay relevant in the era of AI as a Data Scientist

The AI boom has really hit the ground and people have been feeling left out thinking AI has taken over their regular tasks. While the…

Jun 21, 2026 · 3 min read · 1 claps #data-science #ai-boom #machine-learning-ai

ECO HUM AI TCH

NA Nayab Bhutta · InsiderFinance Wire

How to Build a Robust Feature Pipeline for Financial ML Systems

The Hidden Infrastructure Behind Every Successful Quant Trading Model

Jun 19, 2026 · 6 min read · 51 claps #feature-engineering #data-pipline #algorithmic-trading

HUM MDA AI TCH SCI

RT R_Talks

Sliding Windows in Time Series: A Data Scientist’s Guide to Feature Engineering, Validation, and…

“Static machine learning models see the world as a single snapshot. Time-series models with sliding windows see the world as a movie —…

Jun 17, 2026 · 10 min read · 1 claps #data-science #machine-learning #feature-engineering

ECO TCH

ON Onyinye Builds

How I Evaluate a New Feature Idea in 5 Questions

If you’ve ever been in a meeting where someone says, “What if we just add this?” you know how dangerous feature ideas can be.

Jun 13, 2026 · 2 min read · 0 claps #software-development #product-management #product-development

HUM AI

AI Aimyo

Regression with multiple input variables

A recap of Andrew Ng course (Machine Learning Specialization) on Coursera

Jun 09, 2026 · 4 min read · 0 claps #andrew-ng-course #coursera #regression

HUM AI ECO

AM Ameen Siddiqui

Tabularizing Time Series: The Foundation of ML-Based Forecasting

Most ML tutorials treat time series as just another dataset. That assumption will silently destroy your model’s performance. Here’s the…

Jun 09, 2026 · 5 min read · 56 claps #time-series-forecasting #feature-engineering #machine-learning

HUM AI SCI

WA Wahab Taofeek

ML Model Training with Multiple Features

In the Hello World in ML: Supervised Learning article, I explained how to create a simple machine learning model using a single feature. We…

Jun 07, 2026 · 7 min read · 0 claps #machine-learning #feature-engineering #supervised-learning

ART HUM AI SOC

KU Kumar Kalpadiptya Roy

The ML Architect’s Mind: Chapter Five

I have started this article chain to share my experience of architecting an ML pipeline with enough flexibility to give climate researchers…

Jun 06, 2026 · 7 min read · 0 claps #machine-learning #feature-selection #climate-finance

HUM AI SCI

PR Prem Vishnoi(cloudvala) · NextGenAI

How to Fix Underfitting in Machine Learning: A Practical Guid

Underfitting = Underfitting means the model is not learning enough from the data.

Jun 06, 2026 · 10 min read · 0 claps paywalled #machine-learning #data-science #feature-engineering

ART SCI HUM AI

KU Kumar Kalpadiptya Roy

The ML Architect’s Mind: Chapter Four

In my previous three articles of this series, we have seen how to fetch climate based data from public satellite data repositories and…

May 29, 2026 · 7 min read · 0 claps #climate-research #feature-engineering #machine-learning-pipeline

HUM AI SCI

HA Hassan aadi

10 Foundational Principles of Predictive Modeling: A Practitioner’s Guide to Reliable Machine…

How to balance accuracy, interpretability, and rigor in real-world data science workflows

May 29, 2026 · 5 min read · 21 claps #machine-learning #data-science #predictive-modeling

ART HUM GEN AI

PH Phani Harish Wajjala

When t-SNE Lies About Your 3D Embeddings (And Sammon Tells the Truth)

I have a folder of 500 ModelNet40 objects — 25 each of chairs, stools, sofas, beds, cars, planes, twenty classes in total. (Twenty rather…

May 26, 2026 · 12 min read · 0 claps #3d #feature-extraction #machine-learning

ART HUM AI

PH Phani Harish Wajjala

Three Descriptors, One Near-Duplicate Test Suite

CLIP-multiview lost 35 points of PR-AUC to a 30-line HOG pipeline when I added Gaussian noise to a chair. The chair was still a chair —…

May 26, 2026 · 13 min read · 0 claps #3d #machine-learning #feature-engineering

ART HUM MDA AI

PH Phani Harish Wajjala

A 3D Search Engine on $0.50 of Compute

I dropped a chair into a FAISS index over 7,915 ModelNet40 objects and got eight plausible neighbours back in 0.16 milliseconds. The index…

May 25, 2026 · 11 min read · 0 claps #3d #feature-engineering #machine-learning

TCH HUM AI

HA Harmeet Singh

The Spine Pattern: Designing Feature Pipelines That Survive Late-Arriving Labels

How we cut feature-engineering compute by 99% on a default-risk pipeline — and why the answer involved more tables, more jobs, and one very…

May 23, 2026 · 11 min read · 0 claps #machine-learning #feature-engineering #databricks

SCI MKT

AD Aditya Rane

The Five Lenses: Designing a Behavioural Feature Space for Commerce Audience Segmentation

Part 1 of a 3-part series on building an end-to-end audience segmentation pipeline from commerce transaction data.

May 21, 2026 · 5 min read · 1 claps #audience-segmentation #feature-engineering #rfm-analysis

ART HUM MDA DSN

AA Aayush Sharma

🎬 From Anime Fan to Data Analyst: Exploring Anime Trends with Python

Anime is more than entertainment — it reflects audience preferences, storytelling styles, and changing trends over time. In this project, I…

May 08, 2026 · 2 min read · 0 claps #eda #data-analysis #data-cleaning-with-python

TCH DSN HUM AI SCI

HA Harsh Aggarwal

Operationalizing Machine Learning Through Deterministic ETL Pipelines in Enterprise Data…

Abstract

May 06, 2026 · 3 min read · 0 claps #etl-pipeline #machine-learning-python #feature-engineering

AI SCI

NI Nivedita Bhadra · Learning Data

Transforming Skewed Data with Log Transformation and Rank-Based Inverse Normal Transformation(RINT)…

When working with real datasets, ideal assumptions does not always hold. In theory, many statistical models are built upon the assumption…

Apr 25, 2026 · 5 min read · 85 claps paywalled #logtranformation #rint #feature-engineering

HUM AI SOC

JA Jagruti Pawashe

Feature Engineering: The Backbone of an Effective ML Model

Introduction:

Apr 17, 2026 · 6 min read · 11 claps #machine-learning #data-preprocessing #data-preparation

MKT AI SCI

TO tolani akinola

Predicting Customer Lifetime Value: A Practical Guide Using Instacart Data | Tolani Akinola

RFM analysis, K-Means clustering, churn prediction, and CLV estimation. The full customer analytics pipeline, built on real grocery…

Apr 15, 2026 · 7 min read · 0 claps #towards-data-science #data-analysis #feature-engineering

HUM AI TCH SCI

OL OLOKO TAIWO OLUWAFEMI

How I Think About Feature Engineering (And Why Most Beginners Get It Backwards)

A mid-level data scientist’s honest take on the skill that separates good models from great ones

Apr 09, 2026 · 4 min read · 16 claps #programming #science #technology

HUM AI

KE Kenneth Leung · Level Up Coding

Scaling Feature Engineering Pipelines with Feast and Ray

Utilizing feature stores like Feast and distributed compute frameworks like Ray in production machine learning systems

Mar 26, 2026 · 9 min read · 233 claps paywalled #feature-engineering #feast #rays

AI TCH HUM

PR Praxen

The Join Bug That Wastes Model Tuning

How a broken offline feature join quietly poisons training data, fakes progress, and creates painful training-serving skew.

Mar 23, 2026 · 5 min read · 0 claps #machine-learning #mlops #feature-engineering

HUM AI SCI

PR Praxen

Train/Serve Parity: 11 Mismatches That Skew Metrics

A practical guide to the offline-vs-production mismatches that make your model look stronger in notebooks than it behaves in real traffic.

Mar 21, 2026 · 6 min read · 0 claps #machine-learning #mlops #feature-engineering

TCH HUM AI SCI

PR Praxen

Timestamp Leaks That Quietly Poison Features

How feature engineering teams miss time-based leakage, inflate offline metrics, and ship fragile models.

Mar 21, 2026 · 6 min read · 0 claps #machine-learning #feature-engineering #mlops

SE Sevval İclal C.

Öznitelik Nedir?

Öznitelik (feature), bir veri örneğini tanımlayan veya açıklayan herhangi bir özelliktir.

Jan 31, 2026 · 1 min read · 0 claps #makine-öğrenmesi #python #feature-engineering

HUM AI SCI

AY aytacyapici

Topology-Aware Feature Engineering

Using Arf Invariants in Machine Learning

Jan 15, 2026 · 2 min read · 0 claps #machine-learning #feature-engineering #mathematics

AI SCI

BI Billy Chan · Data Science Explained

t-SNE Explained: Visualising High-Dimensional Data

A beginner-friendly guide to how t-SNE turns high-dimensional data into intuitive 2D visualisations using probabilities and perplexity.

Dec 26, 2025 · 10 min read · 9 claps #snet #t-sne-explained #data-science

TCH

BY Bytecraft

Python + DuckDB UDFs with PyArrow: Columnar Speedups for Feature Engineering

How to keep your features in SQL, your logic in Python, and still be fast.

Dec 05, 2025 · 5 min read · 0 claps paywalled #duckdb #pyarrow #python

AI HUM

DA Data4v

Why is it good to do Feature Transforms for Deep Neural Networks?

Since 2012, Deep Learning has exploded and has become synonymous with the term Artificial Intelligence and fairly so. Deep Neural Networks…

Dec 02, 2025 · 3 min read · 0 claps paywalled #deep-neural-networks #feature-engineering #feature-transformation

HUM AI MKT

CO Connie Zhou

Be a Better Machine Learning Engineer — Part 13 Feature Engineering for Search Ranking: Lessons…

When you type a query into a search box — whether it’s Google, Amazon, or your company’s internal search tool — a complex ranking model…

Nov 03, 2025 · 3 min read · 0 claps #search-ranking #feature-engineering #improve-search-rankings

AI ECO SCI

MA Maximilian Oliver · Stackademic

Automated Feature Engineering: How AI Is Redefining the Data Science Workflow

My Journey into Using AI-Driven Tools to Automatically Discover, Create, and Optimize Predictive Features.

Oct 06, 2025 · 4 min read · 2 claps paywalled #feature-engineering #data-science #aidatascience

AI

ZH Zhe Sun, Phd

Feature Engineering for Unsupervised Outlier Detection: Practical Strategies and Pitfalls

Hyperparameter tuning is the same

Sep 23, 2025 · 4 min read · 4 claps #outlier-detection #feature-engineering

HUM AI

AL Aliya Sarfaraz

Week 2: Advancing in the Buildables Fellowship — Feature Engineering, Pipelines, and…

Starting the second week of the Buildables Fellowship was like stepping out of my comfort zone. While Week 1 gave me foundations in AI…

Sep 14, 2025 · 3 min read · 0 claps #machine-learning #python #feature-engineering

TCH MDA AI

HA Hash Block

7 Dynamic Table Plays for Streaming AI Features

Turn Snowflake into a low-lag feature factory — without rewriting pipelines.

Sep 12, 2025 · 5 min read · 0 claps #snowflake #dynamic-table #data-streaming

MDA LIF

DR Dr. Shouke Wei

Boltons (II): Boosting Feature Engineering in Pandas with Boltons

How Python’s Minimalist Utility Library Can Simplify Data Transformation

Aug 29, 2025 · 2 min read · 6 claps paywalled #bolton #feature-engineering #pandas

HUM AI

DR Dr Swarneendu AI · DataDrivenInvestor

The Strange Case of the Invisible Patterns: Why Your Eyes Lie About Time Series Data

Picture this: you’re standing in your local grocery store, watching a shopper toss three different ice cream flavors into their cart…

Aug 10, 2025 · 6 min read · 1 claps paywalled #time-series-analysis #forecasting #seasonality-forecasting

AI HUM SOC SPR

AA Aayushi Gupta · Data Science Collective

How Do Models Choose Their Features? A Deep Dive into Feature Selection (Part 1a)

This blog is inspired by the paper written by Ileberi Emannuel, Yanxia Sun and Zenghui Wang; that explored the development of ML-based…

Aug 01, 2025 · 9 min read · 0 claps #artificial-intelligence #machine-learning #feature-engineering

HUM AI SCI

AY Ayşe Kübra Kuyucu · Artificial Intelligence in Plain English

Feature Engineering 10 — Geospatial Data Handling and Feature Engineering for Machine Learning

Feature Engineering for Machine Learning — Part 10/12

Jul 27, 2025 · 8 min read · 1 claps paywalled #geospatial-data #feature-engineering #machine-learning

AI SCI

NA Nattawut Chayauam

Data Cleaning 101 ทำไมข้อมูลต้องสะอาดก่อนวิเคราะห์

ในยุคที่ใครๆ ต่างก็พูดว่า “Data is the new oil” หรือข้อมูลคือขุมทรัพย์ใหม่ แต่เคยสงสัยไหมครับว่าถ้า “น้ำมัน” ที่เราได้มามันไม่บริสุทธิ์…

Jun 10, 2025 · 5 min read · 0 claps #data-cleaning #feature-engineering #data-science

AI HUM LIF SCI

FE Felipe Gebara

From Inspiration to Method: How Artificial Intelligence is Transforming Feature Engineering

A few years ago, a former boss asked me a question that still echoes in my mind:

May 01, 2025 · 3 min read · 0 claps #feature-engineering #artificial-intelligence #machine-learning

AI

HA Hamdi Boukamcha

Autofeat: Automating Feature Engineering with Python

Comprehensive Guide to Autofeat: Automating Feature Engineering with Python

Oct 10, 2024 · 3 min read · 13 claps #feature-engineering #auto-feature-engineering #fine-tuning

MKT ECO AI SCI

MU Muhammad Andi Yudha

Feature Extraction using principal component analysis (PCA)

based on a paper that has been published

Sep 21, 2024 · 6 min read · 0 claps paywalled #predictive-analytics #data-mining #data-science