Python Quantile Regression Secrets You Never Knew

Video Description

Quantile Regression Project in Python - End to End Learn Quantile Regression in Python using statsmodels and explore how it differs from traditional OLS regression. Understand concepts like conditional quantile, least squares, and how quantile regression provides a more complete view of the relationship between variables compared to standard regression techniques. This tutorial is perfect for data science and machine learning enthusiasts looking to deepen their understanding of advanced statistical modeling and predictive analytics. Quantile Regression is a powerful statistical and machine-learning technique that goes beyond predicting just the mean of the target variable. Unlike Ordinary Least Squares (OLS), which focuses on average trends, Quantile Regression helps you understand the entire distribution — including the median, upper quantiles, and lower quantiles. This makes it ideal for scenarios with outliers, skewed data, and heteroscedasticity, where traditional regression often fails. In this video, we explore Quantile Regression from the ground up: Why and when Quantile Regression is required Mathematical intuition behind quantiles Cost function & formulas (pinball loss) Differences from Linear Regression Real-world use cases (finance, forecasting, risk analysis, demand prediction) Step-by-step Python example with real dataset Interpreting quantile outputs (10th, 50th, 90th quantile predictions) Evaluating model performance using MAE, tilted loss & visual comparison This lesson is designed for beginners and advanced learners, and aligns with your full Data Science, AI & ML learning roadmap. Perfect for students, working professionals, and anyone preparing for interviews. By the end, you will clearly understand how Quantile Regression works, how to implement it in Python, and how to use it in real-time data analysis projects. --- Github Link: https://github.com/edumentordeepti/For-Youtubers --- Chapter/ Timestamp: 00:00 - intro 00:34 - how to perform end to end implementation of quantile regression algorithm? 25:55 - outro --- "Complete Roadmap from Scratch to End AI full course - EduMentor Deepti" Python in AI ➡️ Data Science ➡️ Machine Learning ➡️ Deep Learning ➡️ Generative AI ➡️ Advance Generative AI --- 👉 Do not forget to subscribe and start watching from the beginning to follow the full curriculum. "Learning should be free, accessible, and practical — and that’s exactly what you’ll get here." https://www.youtube.com/@EduMentorDeepti --- ❓ Any question or queries? Drop them in the comments below! 👍Like, ✅ Subscribe & 👉 🔔 hit bell icon for all notifications, ↗️ Share and 💡Comment for Suggestions ✉️ Email Us – [email protected] --- #datascience #machinelearning #python #ai #artificialintelligence #ml #bigdata #programming #coding #tech #education #learnwithme #analytics #edumentordeepti #tutorial #trending #viral #pythoncoding #computerscience #studygram #learnpython #regression #quantileregression #statistics #maths #developer #students #onlinelearning #youtubestudy #mlmodels #deeplearning --- DISCLAIMER: This video is created for educational purposes only. We do not own any copyrights, all code, resources shared are for learning only and all rights go to their respective owners. Please respect licenses and terms of use when implementing in your projects. The usage is non-commercial and we do not make any profit from it. The sole purpose of this vides is to " Learn & Grow... " together in the field of Artificial Intelligence and Machine Learning..