ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
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[feature] Add Some more charts for better understanding for Advanced Visualizations/advanced_visualizations.ipynb repo #1131
Hi, I am Simran Shaikh. I’ve been reviewing the project as part of my contribution to GSSoC Extended 24 and noticed that the code performs by adding more charts for better understanding we can used different library of python like seaborn or matplotlib . By using this library its easy to understand WAFn-UseC-HR-Employee-Attrition Analysis . Also we can include some data cleaning concept for more accurate and efficient data. As i had find an exixting issue there is no more charts .
And also file name is not appropriate.
This would help increase in more visualization . I would like to work on this.
If you like this idea, assign the task to me and add the corresponding charts to it.
Thank you for your time and consideration!
@Niketkumardheeryan can you assign mei this work !
Feature Description Advanced Visualizations/advanced_visualizations.ipynb repo
Hi, I am Simran Shaikh. I’ve been reviewing the project as part of my contribution to GSSoC Extended 24 and noticed that the code performs by adding more charts for better understanding we can used different library of python like seaborn or matplotlib . By using this library its easy to understand WAFn-UseC-HR-Employee-Attrition Analysis . Also we can include some data cleaning concept for more accurate and efficient data. As i had find an exixting issue there is no more charts .
And also file name is not appropriate.
This would help increase in more visualization . I would like to work on this. If you like this idea, assign the task to me and add the corresponding charts to it. Thank you for your time and consideration!
@Niketkumardheeryan can you assign mei this work !