BBahati Brenda Kizito·Oct 10Your ML Model Might Need Better Features, Not a Better Algorithm Feature Engineering Explained: A Beginner's GuideLearn feature engineering. Explore numerical, categorical, time and text features, feature scaling, selection, and data leakage.16 min read·godfident-data.hashnode.dev
VVijay Ram Enaganti·Aug 31Reproducing Sequential Attention(and finding out where my reproduction disagrees with Google's)9 min read·vijay-ram.hashnode.dev1
TTharun·Aug 22Polynomial Regression: Teaching a Line to BendLearn polynomial regression from scratch using a delivery-time example, x^2, feature engineering, and gradient descent to fit curved patterns.10 min read·tharunpandya.hashnode.dev1
NNethmi Amasha·Aug 3Why Do Both Data Preprocessing and Feature Engineering Handle Missing Values?Discover why Data Preprocessing and Feature Engineering both handle missing values and how their purposes differ in machine learning.4 min read·curiousdeveloperbyamasha.hashnode.dev
SSergio González Téllez·Jul 12Beyond SQL: How a Data Science Capstone Changed the Way I Think About Metrics, State, and ObservabilityFrom SQL Queries to State Representation: Lessons from a Data Science Capstone6 min read·evankhandev.hashnode.dev
Aakshat jain·Jun 25From 1.4M NYC Taxi Trips to Production ML: Feature Engineering Improved Predictions by 34.6%How thoughtful feature engineering and SHAP analysis turned 1.4 million NYC taxi trip into a production ML model with 34.6% improvement over baseline.6 min read·akshat-ml.hashnode.dev2
YYejun Park·May 30From Thousands of Features to a Few: A Deep Dive into Dimensionality ReductionDimensionality reduction: why it matters, key challenges (curse of dimensionality, redundancy), and techniques to compress high-dimensional data.13 min read·yejunpark3.hashnode.dev
Ddanieljasme·May 27Building a Near-Perfect Claims Classifier: Random Forest vs XGBoost on TikTok Data (Google Advanced DA Course 5)How I built a 99.7% accurate Random Forest model to classify TikTok claims vs opinions using Python, GridSearchCV, and NLP features.9 min read·danieljasme.hashnode.dev
SScott McMahan·May 4Why AI Projects Struggle in ProductionLearn how an AI feature store strategy improves consistency, reuse, and scalability across machine learning systems in production.2 min read·aitransformeronline.hashnode.dev
Kkingsley ebube onoh·Apr 18Why I Split Minutes Prediction Into Two Models Instead of OneA single regression model trained on NBA game logs predicts that Joel Embiid will play 11 minutes in a game where he's listed as OUT. The…6 min read·kingsleyonoh.hashnode.dev
