LMLakshmi Mahabaleshwarainfreecodecamp.org·Jun 4 · 15 min readHow to Preprocess Medical Images for Machine Learning – A Guide Using Chest X-RaysWorking with healthcare data introduces preprocessing challenges that go beyond those you might encounter with structured data. Some familiar techniques still apply, while others look very different o10
MRMuhammad Razainablank-slate.hashnode.dev·Jun 3 · 3 min readData Cleaning and PreprocessingData is often messy, incomplete, or inconsistent, making it unreliable for analysis and modeling. Before building complex models, we must clean and preprocess the data to ensure accuracy and efficienc10
WTwajahat tajinai-ml-datascience-from-scratch.hashnode.dev·May 13 · 11 min readBuilding CivicAI Part 1: When No Dataset Exists, You Build OneSeries: Building an AI-Powered Municipal Complaint Management System from Scratch The Problem Nobody Talks About Every ML tutorial starts the same way: "First, load your dataset." But what do you do 00
IZismail zamarehinathar-automation.hashnode.dev·May 6 · 9 min readA Practical Guide to Tackling Class Imbalance in Tabular DatasetsA Practical Guide to Tackling Class Imbalance in Tabular Datasets Imagine you’ve built a machine learning model to detect fraudulent credit card transactions. After weeks of feature engineering and hyperparameter tuning, your model reports 99% accura...00
VUVishal Uttam Maneinvishal-uttam-mane-dataset.hashnode.dev·Apr 30 · 5 min readHandling Imbalanced DatasetsIn real-world machine learning applications, perfectly balanced datasets are more the exception than the rule. Whether in fraud detection, medical diagnosis, anomaly detection, or cybersecurity, the n00
WTwajahat tajinai-ml-datascience-from-scratch.hashnode.dev·Apr 23 · 14 min readBuilding a Full-Stack AI-Powered Municipal Civic Issue Management System from ScratchFrom a 200-Row Dataset to a Deployed ML-Powered Platform — A Complete Developer Journey Introduction Have you ever reported a pothole to your city and never heard back? Or seen overflowing garbage bin00
AAAbstract Algorithmsinabstractalgorithms.dev·Mar 29 · 19 min readFeature Engineering: Transforming Raw Data into ML-Ready FeaturesTLDR: 🛠️ Feature engineering transforms messy real-world data into ML-compatible input. Bad features break even the best models — good features make simple algorithms shine. This guide covers scaling00
HUHabib Ur Rehmaninhabib-learned.hashnode.dev·Feb 18 · 35 min readStop Feeding Your Model Junk: The Complete Guide to Feature Selection in Machine LearningWho is this for? Anyone who wants to deeply understand feature selection — not just memorize techniques, but truly know when, why, and how to apply each one. By the end, you will look at any dataset and confidently choose the right approach. Table ...00
PKParth krishan Goswamiinparthkg.hashnode.dev·Feb 18 · 6 min readData Preprocessing in Machine LearningA complete checklist for EDA, Cleaning, and Feature Engineering. While neural architecture design often garners the most attention in Machine Learning, the efficacy of any model is fundamentally constrained by the quality of its input data. Real-worl...00
OEOGUNYEMI EZEKIEL TIMILEHINinogunyemi-ezekiel-timilehin.hashnode.dev·Jan 8 · 7 min readData and Decisions: Building a Housing Price Prediction Model with Multiple Linear RegressionIntroduction Property valuation is one of the most critical tasks in real estate. Traditionally, this process relies heavily on human judgment and market intuition. While experience matters, data offers an opportunity to make pricing more consistent,...00
