Student dataset csv Student Marks Prediction - Regression Problem. You can find information for: * Data sources - big datasets collections which has curated data and advanced searching Students Marksheet Sample Data in Excel. There is a big number of datasets which cover different areas - machine learning, presentation, data analysis and visualization. 1 Employees Sample Data (CSV and JSON) 2 Salaries – Sample CSV Dataset for Practice Discover datasets around the world! # Attributes for both student-mat. csv ` file. py: Complete Python implementation including data preprocessing, EDA, xAPI-Educational Mining Dataset. The datasets are in CSV format and can be used for data analysis and visualization. It includes 300 samples, focusing on scenarios that help predict dropouts. csv) has 48 records, indicating the removal of some problematic rows during the cleaning process. A Case Study analyzing data from selected students from India regarding depression and other impactful criteria - Case_Study_Students_Depr/Student Depression Dataset. A CSV file with 1001 rows and 8 columns of student performance data, including gender, race/ethnicity, parental level of education, lunch, test preparation, course, math score, reading A CSV file containing data of students' year of study, course, age, height, weight, KCSE score, year of joining campus, sit KCSE, expense and previous exam mean grade. Eight of the features represent There are three spreadsheets: total students, male students, and female students. To review, open the file in an editor that reveals hidden Unicode characters. You signed out in another tab or window. Show hidden characters school sex age address famsize You signed in with another tab or window. Extraction of factors impacting students&#39; performances. ; student_grades_prediction_linear_regression. famsize - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3) Academic Success Factors in High School Students. The first line contains the CSV headers. Download the DIKSHA app and scan Daily Lifestyle and Academic Performance of Students. The data is used to build classification models to predict students' dropout and academic sucess. First StudentLife Study: The first dataset is from the 2013 StudentLife study, with results published in a landmark ACM UbiComp 2014 paper presented by Rui Wang (now at Meta). Learn more about bidirectional Unicode characters. toml: Configuration file for project dependencies and settings. Something went wrong and this page crashed! If the . The spreadsheet Student Performance contains data on student performance with 145 rows and 34 columns, including student IDs, grades, and course IDs. Objective: Developed to understand how to reduce academic dropout and failure in higher education. I dropped the columns that does not have great impact on dataset for student depression analysis. Photo by Anna Kolosyuk on Unsplash First, let’s call our buddies. For students' performance in exams, # Load pandas and numpy library import pandas as pd import numpy as np # Read data from csv original_data = pd. This dataset is a random mock dataset generated with the help of Python libraries. I split the data into training and test sets. pkl: Pickle file containing the trained machine learning model for persistence and future use. age - student's age (numeric: from 15 to 22) 4. You signed in with another tab or window. On this page, you can find a list of several hundred data sets you can use. The analysis focuses on understanding various factors affecting student grades and visualizing these relationships using Matplotlib and Seaborn. Contribute to dsrscientist/dataset1 development by creating an account on GitHub. The file is part of a project that analyzes student performance through metrics and visualizations. This dataset captures 48 undergraduate students over a single 10-week term using Android phones. Contribute to anniejojo21/annie development by creating an account on GitHub. The whole StudentLife dataset is in one big file: full dataset, which contains all the sensor data, EMA data, survey responses and educational data. Contribute to dhirajk100/LogReg01 development by creating an account on GitHub. Something went wrong and this page This Repository is used to use the free available datasets. The Python and R implementations are in the following notebooks in the src folder:. If so, you’ll need some data, or a data set, to work on. A student mark sheet contains the student identifiers and marks in various subjects. 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 The dataset on student performance contains an information that can provide valuable understanding of the various factors that affect academic achievement. - Nirmit29/Student-Result-Analysis-DataSet-from-KAGGLE- Introduction. Something went wrong and this page crashed! This project has provided valuable insights into the complex realm of student sentiment within the educational context. Description; Free Data Sets; Conclusion; Description. This is the final, clean csv file to be loaded into RStudio. Contribute to doragacharlalizy/student-performance-prediction development by creating an account on GitHub. Relevant features are selected for the prediction model, and categorical variables are converted to numerical format using one-hot encoding. Implementing Kmeans on a College Students database based on their iq and cgpa and using creating linear regression model to predict the clusters students belong to - teddyoweh/College-Students-Clus For example, if a school is submitting files on 06/1/2019, the school should submit all four files (university_layout. Contribute to aocdiken/Dataset development by creating an account on GitHub. import pandas as pd import matplotlib. AttendanceAttendance. Yilmaz, B. The dataset is freely available for research purposes and for building and training AI and ML models. Then at last, it determines most suitable algorithm from bunch of them. Student Absenteeism This Excel file contains data on chronic student absenteeism - students absent 15 or more days during the school year - for all states. Approach: Utilizes machine learning to identify at-risk students early in their academic journey, enabling timely intervention strategies. - Student-Dataset/student_dataset. Something went wrong and this page crashed! If the issue This data approach student achievement in secondary education of two Portuguese schools. Show hidden characters number_courses time_study Marks; 3 empl and service dataset. Size: 1K - 10K. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. The Student Data Set contains 9000 records of students and eight attributes. Add a description, image, and links to the student-dataset topic page so that developers can more easily learn about it. Machine Readable . Şekeroğlu. For example, Bluetooth devices' names may contain participants' real name because people use their names to name their computers. The model is trained on two datasets: student-mat. Write better code with AI Security. Student Engagement Level Prediction - Binary Case: Contains the dataset and description used as part of our work to predict student engagement using binary ML models. Data sets used in examples. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. csv: Dataset containing students' study hours and marks, used for training and testing the predictive model. Responses came from students of different ages from educational institutions in the Delhi National Capital Region (NCR). 2015-16 Harassment or Bullying Estimations by Basis Category recent views 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 Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Available data goes as far back as 1997. This file should be provided to us each semester in order to track new students The Student Data Set contains 9000 records of students and forteen attributes. The data is Download or read online a dataset of 2000 senior students' scores and personal information in CSV, JSON, XLSX, or XML formats. Department of Education Format: CSV Description: This dataset provides information on student loans, The Student Performance Metrics Dataset provides a diverse collection of academic and non-academic attributes aimed at evaluating factors influencing student performance in The Student_Dataset includes the following columns: math_score: Score in mathematics. The dataset provides a collection of 160 instances belonging to two classes (`pass' = 136 and `fail' = 24). Download institution-level and field-of-study-level data files directly from the College Scorecard. csv, terms. Something went wrong and this page crashed! If the This notebook presents an in-depth analysis of student dropout trends in school education, utilizing a dataset titled "Predict Students Dropout and Academic Success" Investigating the Impact of Social and Economic Factors. 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. @inproceedings{harrigian2020state, title={On the State of Social Media Data Repository for Analysis of data hosted on UCI Machine Learning Archives - rupakc/UCI-Data-Analysis Student Depression. Two datasets are The student data file will provide demographic information and other characteristics for each student. 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 This dataset focuses on the impact of the COVID-19 lockdown on students in India. The dataset is downloaded from UCI Machine Learning Repository. Columns: Attributes include Contribute to haneenn5/Student-performance-in-exams-DataSet development by creating an account on GitHub. csv). Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Navigation Menu Toggle navigation. Croissant. read_csv There’re two dataset for student exam scores, original and expanded If you're looking for student mental health datasets available in CSV format, there are several resources that you can explore. OK, Got it. Our example CSV datasets include various data types and structures for your projects. Student Data from 学生抑郁数据集（Student Depression Dataset）在心理健康领域中被广泛应用于抑郁症的预测与评估。该数据集通过收集学生的各类心理健康相关数据，如情绪状态、生活习惯、学业压力等，为构建抑郁症预测模型提供了丰富的信息源。 The student data sheet contains 9000 records of students and twelve attributes. The objective of this model is predict student performance in secondary education. xAPI-Educational Mining Dataset. For privacy considerations, we removed data that may reveal participants' identities. Attendance. 803974e almost 2 years ago. raw Copy download Student Marks Prediction - Regression Problem. ; student. Contents: Includes data on students’ academic paths, demographics, Datasets: mstz / student_performance. Each instance is made up of 19 features plus the class label. Aspiring data scientists, researchers, and enthusiasts this dataset to uncover patterns and insights that This project analyses and correlates student performance with different attributes. Students and COVID-19 Survey Final DataFrame CSV. Tasks: Tabular Classification. The DIKSHA platform offers engaging learning material, relevant to the prescribed school curriculum, to teachers, students and parents. The dataset consists of four files in different formats. ; student_predictions. License: cc. Through a comprehensive exploration of descriptive and predictive statistical University level Student Survey for Academic quality enhancement. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The Student Data Set contains 9000 records of students and forteen attributes. Two datasets are merged containing the Student Scores Sample Data (CSV, JSON, XLSX, XML) Updated: Aug 15, 2023 This page gives you a dataset that stores information about the performance of senior students of a (very large) fictional high school at the end of their final semester. This resource contains a list of freely available, high quality datasets that can be used in the classroom. Three StudentLife datasets are associated with studying undergraduates at Dartmouth College. NCES Tables Library provides statistics on educational data studies. S. Properties of the Dataset: Number of Instances: 100 Number of Attributes: 3 including the target variable. Something went wrong and this page Used the Campus Placement Dataset, for Data Visualization , using various features, plotting plots extracting relevant information, and predicting the results using RandomForestClassifier, DecisionTreeClassifier and XGBoost(gave For an overview of existing datasets, please consider reading our paper On the State of Social Media Data for Mental Health Research. Using an existing dataset can offer more DIKSHA Public Datasets. pyproject. The dataset is freely available for research purposes and for building and training AI and ML Dataset 3: National Student Loan Data System Source: U. Reload to refresh your session. mstz Upload 3 files. DIKSHA, being a platform that enables digital infrastructure for learning, supports a wide variety of learning and teaching needs across the country. csv at main Download Open Datasets on 1000s of Projects + Share Projects on One Platform. This helps in identifying dropouts and students 1. Here’s a list of notable datasets: 1. Dataset examples. Something went wrong and this page crashed! If the The data consists of Marks of students including their study time & number of courses. 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. Published in Advances in Intelligent Systems and Computing, vol 1095 Student_DataSet. These variables/column influences on the decision or the outcome of the dependent column. chemistry_score: Score in chemistry. By performing this task, knowledge is extracted that describes students’ performance in the end-semester examination. stats The Student Depression Dataset is a meticulously curated resource designed to support the analysis, understanding, and prediction of depression levels among students. You switched accounts on another tab or window. predicted_data. Contribute to Opensourcefordatascience/Data-sets development by creating an account on GitHub. The aim of this project is to contribute to the reduction of academic dropout and failure in higher education, by using machine learning techniques to identify students at risk at an early stage of their academic path, so that strategies to support them can be put into place. Contains the grade obtained by students for 4 years. - Sincha Insights into Student Demographics, Academics, and Sports Participation. Structure: Rows: Each row represents data from an individual student. There is a wide range of useful datasets that can support data education in schools. csv" contains information on 1000 students' age, gender, year in school, major, monthly income, and spending habits on various categories. Sign in Product GitHub Copilot. address - student's home address type (binary: 'U' - urban or 'R' - rural) 5. Learn more. By N. csv (Math course) and student-por. Something went wrong and this page crashed! If the This repository contains a simple linear regression model developed using the scikit-learn package to predict students' exam scores based on various attributes. 2019. **Student Mental Health and CGPA**: - This dataset examines the effects of mental health on students' cumulative grade point averages (CGPA). I dropped the columns that does not have great impact on performance. First StudentLife Study: The first dataset is from the 2013 StudentLife study, with results published in a landmark ACM student_grades. The project explores various aspects of students' academic, personal, and social life, You signed in with another tab or window. The Int32 data type was used for fields like Age and hrsStudy to accommodate missing values. The data attributes include student grades, demographic, social and school related features and it was collected by using school reports and questionnaires. biology_score: Score in biology. The dataset is student oriented, thus the student is the central point. ; Int32 can handle both integer values and missing values simultaneously. csv This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. 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 Student data on average quiz result, homework hours, vs final exam results. 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. College Dataset contains the following columns: College Name; College City; College State; College Rank; College NIRF Rank; Course Dataset contains Student Performance Prediction - Multiclass Case: Contains the dataset and description used as part of our work to predict student performance using multiclass ML models. Learn more Discover datasets around the world! # Attributes for both student-mat. Learn about the 0-100 score grading A CSV file containing student enrollment, name, grades, and result for various courses. Flexible Data Ingestion. csv, students. This dataset contains information related to student mental health, including factors Overview. csv (Math course) and Dataset STUDENTS. Then i encoding categorical data and applied backward elimination for finding optimal features. Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest - student_admission_prediction/dataset_admissions. Analyzing Mental Health Trends and Predictors Among Students. Find and fix vulnerabilities Depression The objective of this model is predict student performance in secondary education. school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2. The project is simple yet challenging as it has very limited features & samples. Leverages statistical techniques and machine learning to identify trends, risk factors, and actionable insights for improving mental well-being in educational settings. csv1 KBdownload-circle Student. Skip to content. Subtitle: Exploring Student Financial Behaviors: A Comprehensive Dataset. Welcome to the Student Depression Detection project—where we dive into the serious issue of mental health among students, armed with numbers, neural networks, and a dash of good intention. Modalities: Tabular. xlsx: Excel file storing the predicted student marks generated by the trained model. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. - ibm-ice/Data-Exchange The dataset contains student data from various colleges to predict dropouts, addressing the complex reasons behind them. The course profile sheet contains 36 records and five attributes The course list sheet contains 37 records and three attributes The dataset is freely available for research purposes and for building and training AI and ML models. csv at master · openlearningbeta/Student-Dataset Our objective is to gain deep insights into the various factors that influence student performance. student-dataset. The code begins by loading the student dataset from a CSV file using pandas. This will allow us to validate and verify the data in the Data Warehouse and ensure the correctness of the analytics run against each Contribute to mubeen161/Datasets development by creating an account on GitHub. Rows have an index value which is incremental and starts at 1 for the first data The cleaned dataset (cleaned_data. Table of Contents. Introduction In the following you will find a fictional dataset for a university. With a diverse set of attributes, such as Whether you are a data scientist, a software engineer, a teacher, a student, or a hobbyist, our datasets will be more or less useful to you. Curate this topic Add this topic to your repo To associate your repository with the student-dataset topic, visit your repo's landing page and select "manage topics The Medical Students Dataset contains information on 200,000 medical students, including their ID, age, gender, height, weight, medical measurements such as blood type, BMI, temperature, heart rate, blood pressure, cholesterol, diabetes status, and smoking habits, making it a valuable resource for conducting research studies or analyzing health trends among this population. This suite of online data analysis tools (PowerStats, TrendStats, and QuickStats) allow users to create tables and regressions to answer critical questions about education across the nation. student_info. Something went wrong and this page crashed! If the Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. csv: Dataset containing student information and grades. This Student Performance Classification Using Artificial Intelligence Techniques. Attributes include age group, gender, performance, and behavioral factors, with dropout status as the target variable - bosuluss/School-Dropout_Dataset Independent column/variable: The variable that are not affected by the other variables are called independent variables. File Format: Provided in CSV format for easy integration into analysis tools. history_score: Score in history. CORGIS: The Collection of Really Great, Interesting, Situated Datasets The data set contains daily reports of Covid-19 cases and deaths in countries In the sample, it is the data set of 50 high school students, 25% of which is local, and a total of 268 university students (Nguyen, 2019). Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Perfect for educators, researchers, and policymakers aiming to enhance student support systems. csv Raw. Marks secured by the students in various subjects. Something went wrong and this page crashed! If the issue persists, it's likely a problem on CSV Datasets. Discover datasets around the world! # Attributes for both student-mat. student_grades. like 1. physics_score: Score in physics. A data-driven project focused on analyzing factors influencing student mental health. "Dataset of 200,000 Students: Field of Study, Specialization, Fees, Discounts" "Dataset of 200,000 Students: Field of Study, Specialization, Fees, Discounts" Kaggle uses cookies from Google to deliver and enhance the quality of its You signed in with another tab or window. Various platforms provide diverse datasets in CSV format, a convenient and widely-used file type for data analysis. sex - student's sex (binary: 'F' - female or 'M' - male) 3. student_mark_predictor. First i visualize the grades of each student by all categorical andthe numeric columns. 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: Overview. Contribute to Iolis1/student-dperession-dataset development by creating an account on GitHub. - Dammonoit/Student-performance-analysis- Contains the grade obtained by students for 4 years. Something went wrong and this page crashed! If the Machine learning models thrive on data, and finding high-quality datasets is crucial for training robust models. Dataset card Data Studio Files Files and versions Community main student_performance / student_performance. csv This CSV file contains information related to the courses students have attended, including their grades and the semesters. student_predictions. is available as a set of separate CSV files (comma separated values, each value is within quotation marks and the first NCES DataLab offers public access to wealth of data on the condition of American education. Text. This provides a clearer representation of the data, as ages and study This repository contains a comprehensive analysis and prediction model for student performance based on a rich dataset (student-mat. csv. ipynb: Jupyter notebook for Student Academic Records Dataset. Student Performance Classification Using Artificial Intelligence Techniques. The National Student Loan Data System (NSLDS) is the national database of information about loans and grants awarded to students under Title IV of the Higher XLS; XLS; XLS; XLS; XLS; XLS; CSV; 3 more in dataset; Federal. csv, and awarded_degrees. csv) with Fall 2018 and Spring 2019 data. Explore Dataset Overview Purpose and Creation. In this post we can find free public datasets for Data Science projects. pyplot as plt import seaborn as sns import numpy as np from scipy. An index column is set on each file. This dataset will only be used for the purpose of academic research. 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. Student Loan Volume Tables—FY 2009 President's Budget Student Performance Dataset with Detailed and Veriety of (33)Features . For each dataset, several CSV sizes are available, from 100 to 2 million records. This repository contains the results of data analysis and exploratory data analysis (EDA) conducted on the Student_Dataset. Published in Advances in Intelligent Systems and Computing, vol 1095 This page provides links to the Federal Student Loan Program Data Books and to other data reports and compilations related to the Federal Student Loan Programs. This dataset will only be used for the purpose of academic You signed in with another tab or window. Download free CSV sample files for testing and learning. This dataset was analyzed by Subtitle: Exploring Student Financial Behaviors: A Comprehensive Dataset. It can be used to analyze and understand factors influencing student performance and identify patterns or trends in their academic achievements. - mohammedAljadd/stud A fictional dataset, Just remember your college days and start exploring. ipynb: Interactive Python notebook implementing including data preprocessing, EDA, machine learning models, and deep learning models. ` ` ` markdown # # Dataset The dataset used in this analysis is named " Student Mental Health " and is provided in the ` Student Mental health. The final dataset The dataset comprises crucial parameters such as IQ scores, CGPA (Cumulative Grade Point Average), and placement status. xlsx This Excel file Logistic Regression Pass fail. csv at main · jmaine123/Case_Study_Students_Depr You signed in with another tab or window. The "Student spending habits dataset. This data can be used to analyze trends in student spending, identify areas where students may need financial assistance, and understand preferred payment methods among students. Dataset Composition. This dataset encompasses a wide range of attributes that shed light on the dynamics contributing to student dropout. The independent columns in this dataset are (Student_ID, Study_Hours_Per_Day, Extracurricular_Hours_Per_Day, Sleep_Hours_Per_Day, The dataset contains student details. Languages: English. mdvz foc hgqgd vdgy qex zroo bnxppe fkzdr yerpl ovsq bqycm xnna flw ueambhoz jytevo

Student dataset csv. Reload to refresh your session.