Multivariate EDA Explained | Step-by-Step Guide for Machine Learning Beginners (Urdu/Hindi) скачать в хорошем качестве

Multivariate EDA Explained | Step-by-Step Guide for Machine Learning Beginners (Urdu/Hindi)

In this video, we take a complete look at Multivariate Analysis, an essential step in Exploratory Data Analysis (EDA). While univariate analysis focuses on one column, multivariate analysis helps us understand relationships between two or more variables. This step is crucial when working on real-world machine learning problems. We use simple, beginner-friendly visualizations like scatter plots, pair plots, and heatmaps to show how different variables relate to each other. Whether you’re working with numerical or categorical data, this video gives you a clear understanding of how features interact — in Urdu/Hindi! What You’ll Learn: Multivariate EDA for Numerical Variables 1. Scatter Plot 2. Line Plot Multivariate EDA for Categorical & Numerical Mix 1. Grouped Bar Plot 2. Boxplot Multivariate EDA for Categorical & Categorical 1. Heatmap Pair Plot to visualize one column with every other column 📊 Real visual examples included to make every concept crystal clear. 📚 This video is part of the Machine Learning for Beginners series in Urdu/Hindi. GitHub Notebook: https://github.com/WasayRabbani/Machi... Watch the full playlist here:    • Machine Learning Journey Day by Day – Star...   🕒 Timestamps: 00:00 - Introduction 00:32 - Dataset Overview 03:21 - Scatter Plot (2 Numerical Variables) 06:39 - Line Plot (2 Numerical Variables) 09:31 - Bar Plot (Numerical & Categorical Variables) 11:02 - Box Plot (Numerical & Categorical Variables) 13:31 - Heatmap (2 Categorical Variables) 15:55 - Pie/Bar chart (2 Categorical Variables) 17:51 - Pair Plot 19:48 - Final Thoughts 🔔 Subscribe for more programming and machine learning tutorials in Urdu/Hindi! 👍 Like, comment, and share to support the channel! #MultivariateEDA #MachineLearningInHindi #PythonInHindi #ExploratoryDataAnalysis #PythonVisualization #MindWired #LearnMachineLearning #DataScienceInUrdu #CodeWithMe #Python2025