100 Days of Machine Learning | CampusX - EDA using Bivariate and Multivariate Analysis | Day 21 | 100 Days of Machine Learning

Exploratory Data Analysis (EDA) through Bivariate and Multivariate Analysis examines relationships between two or more variables, uncovering patterns and insights in the data. Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day21-bivariate-analysis ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 Instagram: https://www.instagram.com/campusx.official E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 00:46 - Agenda 03:10 - ScatterPlot (Numerical to Numerical) 09:05 - Bar Plot (Numerical to Categorical) 13:37 - Box Plot (Numerical to Categorical) 15:30 - DistPlot (Numerical to Categorical) 20:13 - HeatMap (Categorical to Categorical) 26:28 - ClusterMap (Categorical to Categorical) 28:48 - Pairplot 31:50 - LinePlot (Numerical to Numerical)