From 11e35a48161a0bf61dbe21a7756b30f83cc51609 Mon Sep 17 00:00:00 2001 From: GANESH NADKARNI Date: Sat, 23 May 2026 16:52:22 +0530 Subject: [PATCH] Update README.md --- 1-Introduction/1-intro-to-ML/README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/1-Introduction/1-intro-to-ML/README.md b/1-Introduction/1-intro-to-ML/README.md index c6b599bcc..ec296b105 100644 --- a/1-Introduction/1-intro-to-ML/README.md +++ b/1-Introduction/1-intro-to-ML/README.md @@ -102,13 +102,11 @@ This motivation is loosely inspired by how the human brain learns certain things ✅ Think for a minute why a business would want to try to use machine learning strategies vs. creating a hard-coded rules-based engine. --- - -### Why data quality matters +## Why data quality matters High-quality data improves model performance. Poor or noisy data can lead to inaccurate predictions, even when using advanced machine learning algorithms. - - +--- ## Applications of machine learning Applications of machine learning are now almost everywhere, and are as ubiquitous as the data that is flowing around our societies, generated by our smart phones, connected devices, and other systems. Considering the immense potential of state-of-the-art machine learning algorithms, researchers have been exploring their capability to solve multi-dimensional and multi-disciplinary real-life problems with great positive outcomes.