Student grade dataset. csv (Math course) and student-por.
Student grade dataset Predict student performance in secondary education (high school). Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). flask data-science data modular machine-learning-algorithms eda ci-cd python3 web-application trainer github-actions end-to-end-project student-performance-prediction student-exam-scores dataset file saved as student-mat. See full list on github. Nov 1, 2023 · This dataset we used comprises valuable information about students, encompassing attributes such as first period grades (`G1`), second period grades (`G2`), study time (`studytime`), number of 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. Dec 20, 2019 · Using decision tree to see, how student number of hours of absences in course will classify students grade. Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset. This project aims to predict a student's final grade based on various factors such as midterm grades, study time, failures, and absences using a dataset from Kaggle. Initially, a Linear Regression model was used for prediction, and later, a Random Forest model was implemented for potentially improved performance. Nov 26, 2014 · Discover datasets around the world! # Attributes for both student-mat. com Nov 26, 2014 · The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Contains the grade obtained by students for 4 years. The objective is to extract, clean, and analyze the data using Python, Pandas, and Matplotlib/Seaborn for visualization. For any Machine learning mode, its really important to prepare the dataset. The spreadsheet Student Performance contains data on student performance with 145 rows and 34 columns, including student IDs, grades, and course IDs. 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. 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 Contribute to rashida048/Datasets development by creating an account on GitHub. If you haven . Each instance is made up of 19 features plus the class label. It can be used to analyze and understand factors influencing student performance and identify patterns or trends in their academic achievements. Enterprise-grade security features Copilot for business. It enables researchers to analyse relationships between student demographics, academic achievements, socio-economic factors, and extracurricular activities. In this dataset the G1 represents the grades of the first period, G2 represents the grades of the second period, and G3 represents the final grades. Eight of the features represent students' online Aug 15, 2023 · The conversion from numerical scores to letter grades can vary by institution, but a common mapping might look like this: A: 90-100 (Excellent) B: 80-89 (Good) C: 70-79 (Satisfactory or Average) D: 60-69 (Below Average) F: 0-59 (Fail) Grade Point Average (GPA): The 0-100 scores are also used to calculate a student’s Grade Point Average (GPA Mar 24, 2025 · The dataset is intended for use in educational data mining and machine learning applications, specifically for predicting the 5th-semester grades of students based on their past performance. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Jun 16, 2022 · The dataset provides a collection of 160 instances belonging to two classes (`pass' = 136 and `fail' = 24). Input student information and get accurate grade predictions for proactive academic planning. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset includes student IDs, class IDs, and different types of scores (exam, quiz, and homework). The dataset consists of 379 student records, with each record containing the following attributes: SEM 1: Grade obtained in the 1st semester. This project focuses on analyzing student grades using a dataset stored in JSON format. Dataset Attributes: Department: The academic Apr 16, 2021 · The dataset that I am using for the task of students grade prediction is based on the achievements of the students of the Portuguese schools. csv DATASET DESIGN. School GP (assuming it refers to the name of the school) Sex F (indicating the student is female) Age 18; Address U (assuming it stands for urban) Famsize GT3 (indicating the family size is greater than 3) Pstatus A (assuming it stands for living with both parents) Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset. csv (Math course) and student-por. Enhance student success and academic outcomes with GradeGuru. yvsff jhwc msxvz azpnmyhj kkotg tfa cpypns vigqxph tycto qrsg xxgd jvs ayac relf afuwz
Student grade dataset. csv (Math course) and student-por.
Student grade dataset Predict student performance in secondary education (high school). Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). flask data-science data modular machine-learning-algorithms eda ci-cd python3 web-application trainer github-actions end-to-end-project student-performance-prediction student-exam-scores dataset file saved as student-mat. See full list on github. Nov 1, 2023 · This dataset we used comprises valuable information about students, encompassing attributes such as first period grades (`G1`), second period grades (`G2`), study time (`studytime`), number of 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. Dec 20, 2019 · Using decision tree to see, how student number of hours of absences in course will classify students grade. Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset. This project aims to predict a student's final grade based on various factors such as midterm grades, study time, failures, and absences using a dataset from Kaggle. Initially, a Linear Regression model was used for prediction, and later, a Random Forest model was implemented for potentially improved performance. Nov 26, 2014 · Discover datasets around the world! # Attributes for both student-mat. com Nov 26, 2014 · The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Contains the grade obtained by students for 4 years. The objective is to extract, clean, and analyze the data using Python, Pandas, and Matplotlib/Seaborn for visualization. For any Machine learning mode, its really important to prepare the dataset. The spreadsheet Student Performance contains data on student performance with 145 rows and 34 columns, including student IDs, grades, and course IDs. 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. 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 Contribute to rashida048/Datasets development by creating an account on GitHub. If you haven . Each instance is made up of 19 features plus the class label. It can be used to analyze and understand factors influencing student performance and identify patterns or trends in their academic achievements. Enterprise-grade security features Copilot for business. It enables researchers to analyse relationships between student demographics, academic achievements, socio-economic factors, and extracurricular activities. In this dataset the G1 represents the grades of the first period, G2 represents the grades of the second period, and G3 represents the final grades. Eight of the features represent students' online Aug 15, 2023 · The conversion from numerical scores to letter grades can vary by institution, but a common mapping might look like this: A: 90-100 (Excellent) B: 80-89 (Good) C: 70-79 (Satisfactory or Average) D: 60-69 (Below Average) F: 0-59 (Fail) Grade Point Average (GPA): The 0-100 scores are also used to calculate a student’s Grade Point Average (GPA Mar 24, 2025 · The dataset is intended for use in educational data mining and machine learning applications, specifically for predicting the 5th-semester grades of students based on their past performance. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Jun 16, 2022 · The dataset provides a collection of 160 instances belonging to two classes (`pass' = 136 and `fail' = 24). Input student information and get accurate grade predictions for proactive academic planning. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset includes student IDs, class IDs, and different types of scores (exam, quiz, and homework). The dataset consists of 379 student records, with each record containing the following attributes: SEM 1: Grade obtained in the 1st semester. This project focuses on analyzing student grades using a dataset stored in JSON format. Dataset Attributes: Department: The academic Apr 16, 2021 · The dataset that I am using for the task of students grade prediction is based on the achievements of the students of the Portuguese schools. csv DATASET DESIGN. School GP (assuming it refers to the name of the school) Sex F (indicating the student is female) Age 18; Address U (assuming it stands for urban) Famsize GT3 (indicating the family size is greater than 3) Pstatus A (assuming it stands for living with both parents) Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset. csv (Math course) and student-por. Enhance student success and academic outcomes with GradeGuru. yvsff jhwc msxvz azpnmyhj kkotg tfa cpypns vigqxph tycto qrsg xxgd jvs ayac relf afuwz