README.md

House Prices - Advanced Regression Techniques

Overview

How accurately predicted the final price of homes using 79 features, ranging from basement height to proximity to railroads, beyond typical bedrooms and fences?

Exploratory Data Analysis-It involves analyzing datasets to uncover patterns, detect anomalies, test hypotheses, and summarize key insights visually.

Feature Engineering-The process of creating, transforming, or selecting relevant features to improve machine learning model performance and accuracy.

Feature Scaling-Standardizes or normalizes data features to ensure consistent ranges, improving model performance and preventing bias in machine learning.

Feature Selection-It identifies the most relevant features from data, reducing dimensionality, improving model performance, and preventing overfitting in machine learning.