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.

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.

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.

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

Analyzed student exam performance using descriptive & inferential statistics. Explored effects of gender, parental education, lunch type & test prep on Math, Reading & Writing scores. Used Python, Pandas, Seaborn, SciPy. Found strong score correlations & significant prep course impact.

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.

Project for VTU result analysis, extraction and visualisations.

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.

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

This repository includes my basic python project: an Agriculture management system 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).

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 interactive dashboard simulating real-world education data analytics for student performance and scholarship distribution using Power BI, SQL, and DAX — based on a fictional version of the NDMC NSTSE initiative.

Regression Analysis using dataset from different Industries

Analysis of Students and Parents Datasets for Bias mitigation and Fairness

PCA-based clustering of student grades to explore academic performance patterns (R)