This project analyses and correlates student performance with different attributes. Then at last, it determines most suitable algorithm from bunch of them.

The Exploratory Data Analysis and Machine Learning Model Training for the Student Performance Data

This is our Mini Project for 6th semester. In this Mini Project we are developing a new webapp in which we will be performing data visualisation, dashboard designing web development using HTML5,CSS, JavaScript for web development. We are also using tools like Power BI or Tabelue for visualisation purpose.

Utilizes Pandas, Matplotlib, and NumPy to analyze grades, subjects, and study habits. Gain insights into academic performance through data analysis and visualization.

Taking part in Kaggle challenges or simply picking random datasets and working on them

To understand and predict how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).

This dashboard represents an analysis on student performance in math, reading, and writing examinations where more than one factor has been taken into consideration. in accordance with #InternIntelligence.

Dead Simple Result Analysis for VTU Engineering Students

The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development process, ultimately enhancing overall student success.

Project for VTU result analysis, extraction and visualisations.

Regression Analysis using dataset from different Industries

This repository includes my basic python projects: an Agriculture management system and Student performance analysis based projects which have been developed using some of python's basic modules like matplotlib (for graphs and illustrations), cv2 (for image processing) and Tkinter (GUI library to provide a user friendly interface).

Statistical data analysis report on Kaggle dataset Student Performance made as a personal project.

We proposed an automated student result analysis system utilizing ASP.NET to streamline grading analysis and manage student performance effectively. This system addresses the challenges posed by manual analysis in today's education landscape, offering a comprehensive platform for evaluating learning outcomes and optimizing institutional effectively

Using regression analysis, we tested the significance of predictors (such as failures and travel time) to see if they influence the final grades of a student.

An advanced machine learning project for analyzing student performance, utilizing sociodemographic indicators. Hosted on AWS Elastic Beanstalk for real-time predictions and integrated with AWS CodePipeline for continuous integration and deployment.

A Machine Learning project to predict student academic performance using regression and classification models. Includes data preprocessing, visualization, model training, and evaluation on real-world student data.

This project predicts students' math scores using machine learning and Flask for real-time predictions.

A comprehensive web-based Student Performance Monitoring System designed for academic institutions to track and analyze student academic performance. Faculty can record grades and academic data in real-time, while administrators gain valuable insights through data visualization to make informed decisions for improving student outcomes.

A machine learning project aimed at predicting student performance using various ML algorithms. Features data preprocessing, model training, and evaluation. Ideal for educational data analysis and academic research.