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Niketkumardheeryan / ML-CaPsule

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.
MIT License
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Student Marks and performance prediction using machine learning #960

Open RajKhanke opened 1 month ago

RajKhanke commented 1 month ago

This project aims to predict the estimated marks and grade of students based on various inputted factors using given dataset from Kaggle :

https://www.kaggle.com/datasets/nikhil7280/student-performance-multiple-linear-regression

This dataset includes columns like : Hours Studied: The total number of hours spent studying by each student. Previous Scores: The scores obtained by students in previous tests. Extracurricular Activities: Whether the student participates in extracurricular activities (Yes or No). Sleep Hours: The average number of hours of sleep the student had per day. Sample Question Papers Practiced: The number of sample question papers the student practiced.

i will apply different machine learning models and find out which is most accurate ,do EDA , will do a compete data analysis , feature engineering etc. i will take input from user and do predict on Streamlit based Gui application.

RajKhanke commented 1 month ago

@Niketkumardheeryan @invigorzz313 please assign this issue to me along with gssoc'24 level and label

RajKhanke commented 1 month ago

@invigorzz313 @Niketkumardheeryan ?