Student performance dataset csv download.
Oct 25, 2024 · Student-Level Data Files .
Student performance dataset csv download With the corona-virus outbreak that has disrupted life around the globe in 2020, the educational systems have been affected in many ways; studies show that student’s performance has decreased since then, which highlights the need to deal with this problem more Description: The "Student Mental Health" dataset is a comprehensive compilation of data gathered through a survey conducted via Google Forms, targeting university students to explore the intricate relationship between mental health and academic performance, measured by Cumulative Grade Point Average (CGPA). A student mark sheet contains the student identifiers and marks in various subjects. Government websites). Nov 28, 2017 · The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks Predict student performance in secondary education (high school) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This repository contains code and analysis for predicting student dropout and academic success using demographic, socioeconomic, and academic data. You can also read it programmatically with your favorite programming language. Extraction of factors impacting students' performances. pyplot as plt import seaborn as sns import re import Sep 15, 2018 · Student Academic Performance Dataset. The data is an anonymised, statistically sound and reliable representation of the original data collected from students studying computer science modules at a UK University. Open the student-performance. Oct 25, 2024 · Student-Level Data Files . Şekeroğlu. Run the code step by step and check the results Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Lea This project aims to analyze student performance data using various machine learning techniques. Learn more An EDA analysis and Categorization of Students Performance over given Data Set - jakobgross/Students-Performance-in-Exams-Kaggle- Displaying studentData. Then i encoding categorical data and applied backward elimination for finding optimal features. Apr 24, 2024 · Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. com Click here if you are not automatically redirected after 5 seconds. The aim is to preprocess and explore the dataset to identify trends, outliers, and inconsistencies. Jun 2, 2023 · Download the files (the process is different for each one) Load them into a database; Practice your queries! Many of the sites below have a single data set, and many others have a collection of data sets (e. csv (Portuguese language course) datasets: 1 school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2 sex - student's sex (binary: 'F' - female or 'M' - male) 3 age - student's age (numeric: from 15 to 22) 4 address - student's home address type (binary: 'U Engineered the Naive Bayes Algorithm from scratch. The final . Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades You signed in with another tab or window. There are three spreadsheets: total students, male students, and female students. Reload to refresh your session. read_csv("student-mat2. here if you are not automatically redirected Sep 15, 2018 · Student Academic Performance Dataset. Download scientific diagram | Student-mat. Download the data set file from the repository StudentsPerformance. 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). csv (Portuguese language course) datasets: 1 school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2 sex - student's sex (binary: 'F' - female or 'M' - male) 3 age - student's age (numeric: from 15 to 22) 4 address - student's home address type (binary: 'U Marks secured by the students in various subjects. preprocessing import LabelEncoder # creating an encoder le = LabelEncoder() # label encoding for test preparation course data['test preparation course This repository contains the datasets of Indian Colleges and Courses. Student Performance Prediction - Multiclass Case: Contains the dataset and description used as part of our work to predict student performance using multiclass ML models. This data approach student achievement in secondary education of two Portuguese schools. csv” and “student-por. school - student's school (binary: "GP" - Gabriel Pereira or "MS" - Mousinho da Silveira) 2. Key features include: Sorting and displaying the top 10 students based on their scores Total vs. His original work on the dataset, "USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE, can be found here Education is an important element of the society, every government and country in the world work so hard to improve this sector. pandas as pd import numpy as np import matplotlib. The data includes student IDs, ages, emails, study hours, and final grades. The dataset provided aimed to predict student performance using EDM. Import the dataset into your code. This repository contains a comprehensive analysis and prediction model for student performance based on a rich dataset (student-mat. Some of them may require registration, but they should all be free. First i visualize the grades of each student by all categorical andthe numeric columns. pkl: Pickle file containing the trained machine learning model for persistence and future use. csv This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. You switched accounts on another tab or window. Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. csv file in your preferred data Jul 12, 2023 · The student performance dataset is from UCI have 36 attributes and 4424 instances. Sep 13, 2023 · data = pd. - nmn-pandey/student-dropout-prediction Predicting the performance of each student using three algorithms of machine learning and the analysis through the dataset that contain all daily routine of student from hobbies to favorite subjects. The columns of the dataset are defined as follows: Attributes for both student-mat. This dataset is sourced from the UCI Machine Learning Repository, "Student Performance Data Set", donated to UCI ML Repo by Prof. The Student Online Accountability Record Status (SOARS) System allows authorized users at local educational agencies (LEAs) and charter schools to download specific student-level data during a limited timeframe. It can be used to analyze and understand factors influencing student performance and identify patterns or trends in their academic achievements. The data is used to build classification models to predict students' dropout and academic sucess. About. xlsx: Excel file storing the predicted student marks generated by the trained model. Explore and run machine learning code with Kaggle Notebooks | Using data from Students' Academic Performance Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The columns for both student-mat. - AuFeld/student_performance <class 'pandas. csv (Math course) and student-por. Install Jupyter Lab from Anaconda Navigator. For further details, please refer to the SOARS System Frequently Asked Questions web page. raw Copy download link. The dataset is from 48 undergrads and grad students at Dartmouth over the 10 week spring term. Explore and run machine learning code with Kaggle Notebooks | Using data from Students Performance in Exams Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. predicted_data. The project explores various aspects of students' academic, personal, and social life, aiming to understand the factors influencing their final grades and to predict academic outcomes. Copy path. Predict student performance in secondary education (high school). Saved searches Use saved searches to filter your results more quickly Dec 2, 2021 · The dataset contains non-identifiable information on students from two Portuguese secondary schools. student_mark_predictor. Contribute to haneenn5/Student-performance-in-exams-DataSet development by creating an account on GitHub. csv” are downloaded from the source data folder and uploaded to github. csv (Portuguese language course) datasets: 1. StudentsPerformance. 4514fa0 12 months ago. Download and Open the IPYNB file in Jupyter lab. csv: Sample dataset used for the model (You can replace with your own dataset) studentflow. Dec 12, 2021 · The dataset includes information known at the time of student enrollment (academic path, demographics, and social-economic factors) and the students' academic performance at the end of the first and second semesters. Exploring Factors Affecting Student Performance Student Performance (Multiple Linear Regression) | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. csv). Machine learning and deep learning models are implemented in Python and R. 基于Logistic回归的学生成绩预测. You can find the dataset and read more here. linear-regression exploratory-data-analysis logistic-regression time-series-analysis student-performance-analysis multiple-linear-regression pollution-prediction student-performance-prediction basic-data-analysis predicting-feedback netflix-userbase-analysis Oct 22, 2021 · The data presented in this article comprise an educational dataset collected from the student information system (SIS), the learning management system (LMS) called Moodle, and video interactions from the mobile application called “eDify. g. Oct 7, 2024 · The Student Performance Metrics Dataset provides a diverse collection of academic and non-academic attributes aimed at evaluating factors influencing student performance in higher education. Dataset card Viewer Student_Performance / student-mat. For example, if a school is submitting files on 06/1/2019, the school should submit all four files (university_layout. Learn more. csv, terms. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Predict student performance in secondary education (high school) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. An easy tool to edit CSV This project analyzes student performance through various metrics and visualizations. 6 KB) Import in Python. pickle: Saved best performing model for future use. kaggle. This repository contains the R and Python code that I used to predict the performance of students at the UK's Open University with data from the Open University Learning Analytics Dataset (OULA. DElmazi Upload Main CSV Data files. Contribute to NadavKiani/Students-Performance-in-Exams development by creating an account on GitHub. OK, Got it. It enables researchers to analyse relationships between student demographics, academic achievements, socio-economic factors, and extracurricular activities. Nov 26, 2014 · Discover datasets around the world! # Attributes for both student-mat. 803974e over 1 year ago. This will allow us to validate and verify the data in the Data Warehouse and ensure the correctness of the analytics run against each Student-Performance-analysis. The Mar 15, 2024 · The Student Data Set contains 9000 records of students and eight attributes. In our sample students marksheet dataset, we have listed the following variables: ID; Name; Marks in Mathematics; Marks in Physics; Marks in Chemistry; Percentage; Here is a preview of the sample student marksheet dataset: Nov 26, 2014 · Discover datasets around the world! # Attributes for both student-mat. Datasets: mstz / student_performance. csv) from the provided Kaggle link and place it inside the artifacts/data directory. Here are the key attributes & the py file contains every small explanation related to analysis. The only libraries needed to run this code are the standard ones in Data Science: Python 3. Utilized the student performance dataset from the UCI ML repo. Jun 16, 2022 · The dataset provides a collection of 160 instances belonging to two classes (`pass' = 136 and `fail' = 24). Published in Advances in Intelligent Systems and Computing, vol 1095 Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Lea The dataset used in this project is sourced from Kaggle and contains various features related to student demographics, academic background, and behavioral traits. DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 8 columns): gender 1000 non-null object race/ethnicity 1000 non-null object parental level of education 1000 non-null object lunch 1000 non-null object test preparation course 1000 non-null object math score 1000 non-null int64 reading score 1000 non-null int64 writing score 1000 non-null int64 dtypes Insights into Student Performance and Contributing Factors Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. csv (Portuguese language course) datasets: You can download sample CSV files here for testing purposes. csv and student-por. Published in Advances in Intelligent Systems and Computing, vol 1095 This repository contains the dataset and scripts used for cleaning and analyzing student data from a CSV file. csv (Mathematics course) and student-por. 2019. This Dataset contains information about the Students performance . For students' performance in exams, there are some factors that affect their performance. core. The dataset. Oct 22, 2021 · Download full-text PDF Read full-text. Yilmaz, B. Code. Run the web application using: python app. The second line of code prints the data for the first 5 students from the file. Jul 1, 2024 · Students Marksheet Sample Data in Excel. I dropped the columns that does not have great impact on performance. csv (Portuguese language course) datasets: 1 school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2 sex - student's sex (binary: 'F' - female or 'M' - male) 3 age - student's age (numeric: from 15 to 22) 4 address - student's home address type (binary: 'U Dataset Overview The dataset encompasses a rich array of features pertaining to students' demographics, parental background, extracurricular activities, and academic performance. You signed in with another tab or window. This dataset will only be used for the purpose of academic research. May 21, 2020 · from sklearn. Learn more Aug 14, 2023 · Student Performance Classification Using Artificial Intelligence Techniques. Each instance is made up of 19 features plus the class label. The spreadsheet Student Performance contains data on student performance with 145 rows and 34 columns, including student IDs, grades, and course IDs. Academic Success Factors in High School Students 📚 Students Performance Dataset 📚 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. pip install ucimlrepo. Raw. Download (15. csv file: You can manually save it to your local computer just by copying and pasting the URL in the address bar of your web browser (Chrome, Edge, Firefox, Safari, etc). Top. Blame. The dataset used in this project is the StudentsPerformance. Both the datasets have the same set of columns and we can review the column description provided with the datasets. ” The dataset, from the higher educational institution (HEI) in Sultanate of Oman, comprises five modules of data from Spring 2017 to Spring 2021. Student Performance Data Set | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. students_data. raw Copy download link The StudentLife dataset is a large, longitudinal dataset that is rich in formation and deep. csv) with Fall 2018 and Spring 2019 data. Eight of the features represent students' online This is Blog Post is a part of the Data Scientist Nanodegree Program requirement from Udacity, I chose to work on a data set about students' performance on exams. Extraction of factors impacting students&#39; performances. csv Confusion Matrix from publication: EDM preprocessing and hybrid feature selection for improving classification accuracy | Educational Data Mining (EMD Our objective is to gain deep insights into the various factors that influence student performance. The datasets are in CSV format and can be used for data analysis and visualization. Student Absenteeism This Excel file contains data on chronic student absenteeism - students absent 15 or more days during the school year - for all states. Paulo Cortez of University Minho. Student Performance Dataset with Detailed and Veriety of (33)Features Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. csv: Dataset containing students' study hours and marks, used for training and testing the predictive model. 4514fa0 about 1 year ago. csv, students. Pass analysis The Jupyter Notebook files provided in this repository demonstrate the steps involved in data preprocessing, model training using linear regression, and evaluation of the predictive performance. StudentID,Age,StudyTimeWeekly,Absences,GPA,Gender,Ethnicity,ParentalEducation,Tutoring,ParentalSupport,ClubInvolvement,Sports,Music,Volunteering,GradeClass Aug 15, 2023 · Here’s the URL to download the student-scores. xAPI-Educational Mining Dataset. csv (Portuguese language course) datasets: 1 school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2 sex - student's sex (binary: 'F' - female or 'M' - male) 3 age - student's age (numeric: from 15 to 22) 4 address - student's home address type (binary: 'U student_mat. By N. py Explore and run machine learning code with Kaggle Notebooks | Using data from Student Performance Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. csv") data. Dataset card Viewer Student_Performance / student-por. Contribute to rashida048/Datasets development by creating an account on GitHub. By examining a comprehensive dataset that includes demographic, behavioral, and academic variables, we aim to uncover patterns and correlations that can help educators and policymakers enhance student outcomes. It explores regression, classification, clustering, and ensemble methods to gain insights into factors influencing academic performance. X, Jupyter, NumPy, Pandas, Matplotlib, SKLearn, and Seaborn I used the Kaggle dataset about Student Performance in Math over the course of 3 years to try to better understand the following: What are the Student Performance Indicator. Contribute to dsrscientist/dataset1 development by creating an account on GitHub. empl and service dataset. Source: Kaggle Student Performance Dataset; Data Cleaning: The dataset undergoes preprocessing to handle missing values, outliers, and formatting inconsistencies. To review The objective of this model is predict student performance in secondary education. student_info. frame. Sep 13, 2015 · Obtaining the dataset. csv Exam scores for students at a public school. csv dataset was the complete dataset, with 21 out of 40 Student achievement in secondary education of two Portuguese schools. This dataset is a random mock dataset generated with the help of Python libraries. Contribute to Okiii-lh/StudentScorePre development by creating an account on GitHub. csv datasets are included for reference. You signed out in another tab or window. Preview. Importantly, the dataset is anonymized protecting the privacy of the participants in the study. mstz Upload 3 files. The objective of this model is predict student performance in secondary education. Learn more Student Performance Prediction - Binary Scenario: Contains the dataset and description used as part of our work to predict student performance using binary ML models. The Student Performance Dataset is designed to examine the factors influencing academic performance. Both the dataset “student-mat. - mohammedAljadd/stud Download ZIP. Student Performance Classification Using Artificial Intelligence Techniques. The datasets can be used in any software application compatible with CSV files. csv. head() The first line of code here loads our data set. The dataset is freely available for research purposes and for building and training AI and ML models. student_performance / student_performance. Install the ucimlrepo package. studentmodel. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. In this analysis, we will focus here on is there any benefits of taking an exam preparation Download the dataset (student_performance_dataset. File metadata and controls. This dataset contains information on the performance of students in mathematics Student performance prediction | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The data attributes include student grades, demographic, social and school related features and it was collected by using school reports and questionnaires. Nov 26, 2014 · Predict student performance in secondary education (high school). The student-mat. csv, and awarded_degrees. Checking your browser before accessing www. py: Python script containing the entire process for student performance prediction using linear regression. ojcywutimebtgsarqarljpekiamjwlfakdnybvqpxf