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#data-preprocessing

83 posts

HUHabib Ur Rehmanhabib-learned.hashnode.dev

Stop Feeding Your Model Junk: The Complete Guide to Feature Selection in Machine Learning

Who 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 ...

22h ago35 min read

PKParth krishan Goswamiparthkg.hashnode.dev

Data Preprocessing in Machine Learning

A 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...

16h ago6 min read

OEOGUNYEMI EZEKIEL TIMILEHINogunyemi-ezekiel-timilehin.hashnode.dev

Data and Decisions: Building a Housing Price Prediction Model with Multiple Linear Regression

Introduction 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,...

Jan 87 min read

VMVivian Maduekwevivianmaduekwe.hashnode.dev

Mastering Data Preprocessing and Regression Analysis: A Comprehensive Project

Introduction One of the biggest misconceptions about machine learning is that models do the hard work. In reality, models are only as good as the data they learn from. As part of an intensive take-home project, I worked through a complete data scienc...

Jan 76 min read

IOIyanuloluwa Okinbaloyeiyanuokin.hashnode.dev

What I learnt from a Machine Learning Sentiment Analysis Task

We Know that sentiment analysis has been done with machine learning for a long time and and is always a good place to start studying Natural Language Processing, So I began by building a sentiment analysis classification task with logistic regression...

Jan 53 min read

IEIfeanyi Ezeriohagodwithus.hashnode.dev

Mastering Data Preprocessing and Regression Analysis: A Comprehensive Take-Home Project

As a data science intern at DataraFlow, I've had the opportunity to dive deep into the fundamentals of data preprocessing and regression analysis through this intensive take-home assignment. My solution represents a complete walkthrough of essential ...

Dec 24, 202510 min read

SBSaachi Badalsaachis-blog.hashnode.dev

Data Preprocessing in Machine Learning

Dec 14, 20256 min read

UUplatzuplatz.hashnode.dev

Feature Engineering in Practice

Introduction So far in this masterclass, we’ve explored individual feature engineering techniques—handling missing data, encoding categories, scaling features, creating new variables, and reducing dimensionality.In real-world machine learning project...

Dec 12, 20253 min read

UUplatzuplatz.hashnode.dev

Dimensionality Reduction Techniques

Introduction As datasets grow larger and more complex, models often face a common challenge: too many features. While having more data can be beneficial, high-dimensional feature spaces can lead to slower training, overfitting, noisy patterns, and po...

Dec 11, 20253 min read

UUplatzuplatz.hashnode.dev

⭐ Encoding Categorical Variables

🔍 Why Encoding Matters Machine-learning models cannot understand text categories by default. Encoding transforms these categories into meaningful numerical values, ensuring the model correctly interprets patterns without bias or distortion. 1. Labe...

Dec 8, 20252 min read

Search Hashnode

#data-preprocessing

Stop Feeding Your Model Junk: The Complete Guide to Feature Selection in Machine Learning

Data Preprocessing in Machine Learning

Data and Decisions: Building a Housing Price Prediction Model with Multiple Linear Regression

Mastering Data Preprocessing and Regression Analysis: A Comprehensive Project

What I learnt from a Machine Learning Sentiment Analysis Task

Mastering Data Preprocessing and Regression Analysis: A Comprehensive Take-Home Project

Data Preprocessing in Machine Learning

Feature Engineering in Practice

Dimensionality Reduction Techniques

⭐ Encoding Categorical Variables