5.2.2 Exploratory Data Analysis | Missing Values | Categorical & Numerical Variables | Correlation
Channel: Data Science Diaries
Date: 2021-11-23

This videos tutorials helps to understand Exploratory Data Analysis using pandas, matplotlib, numpy and seaborn libraries.
In this video we have discussed about - 
1.Missing values
2.Categorical and numerical variables
3.Cardinality of categorical variables
4.Correlation among variables

#ExploratoryDataAnalysis #ExploratoryDataAnalysisInPython #ExploratoryDataAnalysisProject #PythonLoopsTutorial #PythonLoops #PythonTutorial #PythonProgramming

 Code for this video tutorial can be found at this github location - 
https://github.com/MandeepKharb/Youtube/blob/main/ML/EDA5.1.ipynb

Parent GIT repository for all the ML Youtube videos - 
https://github.com/MandeepKharb/Youtube

Complete ML Playlist  - 
https://www.youtube.com/playlist?list=PLfFqtQvlXuWkUrMK0mjNrdPvgqvW20_L5

#ai #ml #datascience #pandas #EDA #beginners #pyhton