Student dataset csv. … You signed in with another tab or window.

Student dataset csv Something went wrong and this page crashed! If the issue This data approach student achievement in secondary education of two Portuguese schools. 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. predicted_data. 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. xlsx This Excel file Logistic Regression Pass fail. The project explores various aspects of students' academic, personal, and social life, You signed in with another tab or window. The whole StudentLife dataset is in one big file: full dataset, which contains all the sensor data, EMA data, survey responses and educational data. Available data goes as far back as 1997. 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. 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. Analyzing Mental Health Trends and Predictors Among Students. Modalities: Tabular. pyplot as plt import seaborn as sns import numpy as np from scipy. I dropped the columns that does not have great impact on dataset for student depression analysis. This Student Performance Classification Using Artificial Intelligence Techniques. age - student's age (numeric: from 15 to 22) 4. mstz Upload 3 files. There is a wide range of useful datasets that can support data education in schools. This dataset will only be used for the purpose of academic research. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This dataset is a random mock dataset generated with the help of Python libraries. 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. xlsx: Excel file storing the predicted student marks generated by the trained model. Contribute to Iolis1/student-dperession-dataset development by creating an account on GitHub. The Python and R implementations are in the following notebooks in the src folder:. 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. Show hidden characters school sex age address famsize You signed in with another tab or window. Something went wrong and this page crashed! If the The data consists of Marks of students including their study time & number of courses. 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. csv. Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. The dataset consists of four files in different formats. Learn more about bidirectional Unicode characters. 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 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. First i visualize the grades of each student by all categorical andthe numeric columns. Contains the grade obtained by students for 4 years. Yilmaz, B. Contents: Includes data on students’ academic paths, demographics, Datasets: mstz / student_performance. Then at last, it determines most suitable algorithm from bunch of them. Data sets used in examples. csv (Math course) and Dataset STUDENTS. The dataset is student oriented, thus the student is the central point. csv at master · openlearningbeta/Student-Dataset Our objective is to gain deep insights into the various factors that influence student performance. student-dataset. Student Performance Classification Using Artificial Intelligence Techniques. 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 objective of this model is predict student performance in secondary education. Photo by Anna Kolosyuk on Unsplash First, let’s call our buddies. Text. csv: Dataset containing student information and grades. This helps in identifying dropouts and students 1. 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. physics_score: Score in physics. An index column is set on each file. Croissant. It includes 300 samples, focusing on scenarios that help predict dropouts. csv, and awarded_degrees. 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 Student_DataSet. - Nirmit29/Student-Result-Analysis-DataSet-from-KAGGLE- Introduction. Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest - student_admission_prediction/dataset_admissions. 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. The model is trained on two datasets: student-mat. You signed out in another tab or window. This resource contains a list of freely available, high quality datasets that can be used in the classroom. Şekeroğlu. 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). student_info. toml: Configuration file for project dependencies and settings. 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. Download the DIKSHA app and scan Daily Lifestyle and Academic Performance of Students. Flexible Data Ingestion. Description; Free Data Sets; Conclusion; Description. The Student Data Set contains 9000 records of students and eight attributes. Objective: Developed to understand how to reduce academic dropout and failure in higher education. Using an existing dataset can offer more DIKSHA Public Datasets. Subtitle: Exploring Student Financial Behaviors: A Comprehensive Dataset. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. csv" contains information on 1000 students' age, gender, year in school, major, monthly income, and spending habits on various categories. DIKSHA, being a platform that enables digital infrastructure for learning, supports a wide variety of learning and teaching needs across the country. A student mark sheet contains the student identifiers and marks in various subjects. csv (Math course) and student-por. The Int32 data type was used for fields like Age and hrsStudy to accommodate missing values. Leverages statistical techniques and machine learning to identify trends, risk factors, and actionable insights for improving mental well-being in educational settings. 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. Contribute to anniejojo21/annie development by creating an account on GitHub. Learn more. The file is part of a project that analyzes student performance through metrics and visualizations. Introduction In the following you will find a fictional dataset for a university. Contribute to doragacharlalizy/student-performance-prediction development by creating an account on GitHub. 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 Marks Prediction - Regression Problem. This dataset captures 48 undergraduate students over a single 10-week term using Android phones. You can find information for: * Data sources - big datasets collections which has curated data and advanced searching Students Marksheet Sample Data in Excel. The datasets are in CSV format and can be used for data analysis and visualization. Contribute to Opensourcefordatascience/Data-sets development by creating an account on GitHub. xAPI-Educational Mining Dataset. This repository contains the results of data analysis and exploratory data analysis (EDA) conducted on the Student_Dataset. Explore Dataset Overview Purpose and Creation. ipynb: Interactive Python notebook implementing including data preprocessing, EDA, machine learning models, and deep learning models. Navigation Menu Toggle navigation. Languages: English. Download institution-level and field-of-study-level data files directly from the College Scorecard. The "Student spending habits dataset. address - student's home address type (binary: 'U' - urban or 'R' - rural) 5. Extraction of factors impacting students' performances. The spreadsheet Student Performance contains data on student performance with 145 rows and 34 columns, including student IDs, grades, and course IDs. Contribute to dsrscientist/dataset1 development by creating an account on GitHub. A data-driven project focused on analyzing factors influencing student mental health. A Case Study analyzing data from selected students from India regarding depression and other impactful criteria - Case_Study_Students_Depr/Student Depression 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. student_predictions. csv) has 48 records, indicating the removal of some problematic rows during the cleaning process. This dataset will only be used for the purpose of academic You signed in with another tab or window. The analysis focuses on understanding various factors affecting student grades and visualizing these relationships using Matplotlib and Seaborn. The Student Data Set contains 9000 records of students and forteen attributes. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Properties of the Dataset: Number of Instances: 100 Number of Attributes: 3 including the target variable. Aspiring data scientists, researchers, and enthusiasts this dataset to uncover patterns and insights that This project analyses and correlates student performance with different attributes. Our example CSV datasets include various data types and structures for your projects. Dataset examples. student_grades. Marks secured by the students in various subjects. history_score: Score in history. 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, students. Reload to refresh your session. AttendanceAttendance. 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. 803974e almost 2 years ago. These variables/column influences on the decision or the outcome of the dependent column. 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. py: Complete Python implementation including data preprocessing, EDA, xAPI-Educational Mining Dataset. The first line contains the CSV headers. Machine Readable . Download free CSV sample files for testing and learning. - Dammonoit/Student-performance-analysis- Contains the grade obtained by students for 4 years. 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. This dataset encompasses a wide range of attributes that shed light on the dynamics contributing to student dropout. By N. Relevant features are selected for the prediction model, and categorical variables are converted to numerical format using one-hot encoding. You switched accounts on another tab or window. 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. Add a description, image, and links to the student-dataset topic page so that developers can more easily learn about it. This dataset was analyzed by Subtitle: Exploring Student Financial Behaviors: A Comprehensive Dataset. Size: 1K - 10K. import pandas as pd import matplotlib. pyproject. sex - student's sex (binary: 'F' - female or 'M' - male) 3. The code begins by loading the student dataset from a CSV file using pandas. Show hidden characters number_courses time_study Marks; 3 empl and service dataset. For example, Bluetooth devices' names may contain participants' real name because people use their names to name their computers. Learn more Discover datasets around the world! # Attributes for both student-mat. NCES Tables Library provides statistics on educational data studies. S. - mohammedAljadd/stud A fictional dataset, Just remember your college days and start exploring. biology_score: Score in biology. Rows have an index value which is incremental and starts at 1 for the first data The cleaned dataset (cleaned_data. school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) 2. famsize - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3) Academic Success Factors in High School Students. csv Raw. Find and fix vulnerabilities Depression The objective of this model is predict student performance in secondary education. For privacy considerations, we removed data that may reveal participants' identities. - Student-Dataset/student_dataset. csv, terms. Columns: Attributes include Contribute to haneenn5/Student-performance-in-exams-DataSet development by creating an account on GitHub. 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. chemistry_score: Score in chemistry. The DIKSHA platform offers engaging learning material, relevant to the prescribed school curriculum, to teachers, students and parents. The final dataset The dataset comprises crucial parameters such as IQ scores, CGPA (Cumulative Grade Point Average), and placement status. To review, open the file in an editor that reveals hidden Unicode characters. For each dataset, several CSV sizes are available, from 100 to 2 million records. 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. File Format: Provided in CSV format for easy integration into analysis tools. Student Absenteeism This Excel file contains data on chronic student absenteeism - students absent 15 or more days during the school year - for all states. 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. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. ; student_predictions. csv1 KBdownload-circle Student. 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). 2019. First StudentLife Study: The first dataset is from the 2013 StudentLife study, with results published in a landmark ACM student_grades. Attendance. The dataset is freely available for research purposes and for building and training AI and ML models. 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. The project is simple yet challenging as it has very limited features & samples. 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. "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. 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. 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. ; student. The data is used to build classification models to predict students' dropout and academic sucess. - Sincha Insights into Student Demographics, Academics, and Sports Participation. ; student_grades_prediction_linear_regression. Tasks: Tabular Classification. csv ` file. Discover datasets around the world! # Attributes for both student-mat. 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. Through a comprehensive exploration of descriptive and predictive statistical University level Student Survey for Academic quality enhancement. Various platforms provide diverse datasets in CSV format, a convenient and widely-used file type for data analysis. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Structure: Rows: Each row represents data from an individual student. Students and COVID-19 Survey Final DataFrame CSV. student_mark_predictor. OK, Got it. Perfect for educators, researchers, and policymakers aiming to enhance student support systems. ` ` ` markdown # # Dataset The dataset used in this analysis is named " Student Mental Health " and is provided in the ` Student Mental health. 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. Something went wrong and this page crashed! If the . Eight of the features represent There are three spreadsheets: total students, male students, and female students. pkl: Pickle file containing the trained machine learning model for persistence and future use. csv This CSV file contains information related to the courses students have attended, including their grades and the semesters. This is the final, clean csv file to be loaded into RStudio. 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. Skip to content. Sign in Product GitHub Copilot. 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. Student Loan Volume Tables—FY 2009 President's Budget Student Performance Dataset with Detailed and Veriety of (33)Features . Learn about the 0-100 score grading A CSV file containing student enrollment, name, grades, and result for various courses. like 1. Write better code with AI Security. csv at main Download Open Datasets on 1000s of Projects + Share Projects on One Platform. @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. csv). 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. Approach: Utilizes machine learning to identify at-risk students early in their academic journey, enabling timely intervention strategies. The data is Download or read online a dataset of 2000 senior students' scores and personal information in CSV, JSON, XLSX, or XML formats. 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. Contribute to aocdiken/Dataset development by creating an account on GitHub. csv at main · jmaine123/Case_Study_Students_Depr You signed in with another tab or window. Dataset Composition. - ibm-ice/Data-Exchange The dataset contains student data from various colleges to predict dropouts, addressing the complex reasons behind them. Responses came from students of different ages from educational institutions in the Delhi National Capital Region (NCR). 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. Three StudentLife datasets are associated with studying undergraduates at Dartmouth College. raw Copy download Student Marks Prediction - Regression Problem. csv This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Each instance is made up of 19 features plus the class label. This dataset contains information related to student mental health, including factors Overview. I dropped the columns that does not have great impact on performance. Then i encoding categorical data and applied backward elimination for finding optimal features. Something went wrong and this page crashed! This project has provided valuable insights into the complex realm of student sentiment within the educational context. Dataset card Data Studio Files Files and versions Community main student_performance / student_performance. By performing this task, knowledge is extracted that describes students’ performance in the end-semester examination. 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. 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. Contribute to dhirajk100/LogReg01 development by creating an account on GitHub. I split the data into training and test sets. ipynb: Jupyter notebook for Student Academic Records Dataset. The data attributes include student grades, demographic, social and school related features and it was collected by using school reports and questionnaires. csv: Dataset containing students' study hours and marks, used for training and testing the predictive model. Two datasets are The student data file will provide demographic information and other characteristics for each student. csv) with Fall 2018 and Spring 2019 data. **Student Mental Health and CGPA**: - This dataset examines the effects of mental health on students' cumulative grade point averages (CGPA). 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. You signed in with another tab or window. ; Int32 can handle both integer values and missing values simultaneously. If so, you’ll need some data, or a data set, to work on. In this post we can find free public datasets for Data Science projects. 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. Table of Contents. On this page, you can find a list of several hundred data sets you can use. It can be used to analyze and understand factors influencing student performance and identify patterns or trends in their academic achievements. Something went wrong and this page crashed! If the issue persists, it's likely a problem on CSV Datasets. 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. License: cc. The dataset is downloaded from UCI Machine Learning Repository. stats The Student Depression Dataset is a meticulously curated resource designed to support the analysis, understanding, and prediction of depression levels among students. There is a big number of datasets which cover different areas - machine learning, presentation, data analysis and visualization. Something went wrong and this page This Repository is used to use the free available datasets. Here’s a list of notable datasets: 1. zrragzj zzscs hwqcixr ewdzggk ltyle qpmqftfb dwjpog dvp ons ypidvd dyg lkyu olvh kpsrnfg uwojzsds