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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,871 datasets
Public Schools Data is a dataset hosted on Kaggle. The dataset likely contains information about public schools, such as location, demographics, or performance metrics. Its specific contents, size, and origin require verification after download.
A dataset for machine learning tasks, specifically mentioned for creating bar graphs. The dataset's origin, size, and specific variables are not detailed in the provided metadata. It is hosted on the Kaggle platform.
A dataset on student performance, likely containing academic metrics, sourced from the Kaggle platform. The author, organization, and specific temporal or geographic coverage are not provided in the metadata. The dataset's exact size, structure, and license are currently unknown.
Kaggle hosts a dataset titled STUDENT PERFORMANCE. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further inspection after download is required to confirm its scope and variables.
A dataset concerning teachers in Bangladesh, sourced from Kaggle. The specific number of records, features, and collection methodology are not detailed in the available metadata. Users must download the dataset to inspect its actual content and structure.
Kaggle hosts a dataset titled Student Performance. The dataset likely contains metrics related to academic outcomes. Its specific content, size, and origin are not detailed in the provided metadata.
DHA_Suffa_university is a dataset published on Kaggle. The title suggests it likely contains data related to DHA Suffa University, such as student records or academic information. Specific details about columns, size, and provenance are unknown.
Learning curves likely contain data tracking performance metrics over time or iterations. The dataset is published on Kaggle, but its specific content, scale, and authorship are unknown. Columns suggest it may record learning progress or model evaluation metrics.
Student Performance Predection is a dataset hosted on Kaggle. The dataset likely contains information related to student academic outcomes. Its specific content, size, and origin are unknown from the provided metadata.
Images likely depicting potassium permanganate (KMnO4) solutions at varying concentrations. The dataset is hosted on Kaggle, but its size, creator, and collection date are unknown. The intended application appears to be training or testing deep learning models for chemical analysis.
University_Placement_Dataset is a dataset hosted on Kaggle. Its title suggests it likely contains information related to student placement outcomes from universities. The dataset's specific content, size, and origin are unknown.
March Machine Learning Mania likely refers to a Kaggle competition focused on sports analytics. The dataset is titled 'March Machine Learning Mania PreProcessed', suggesting it is a cleaned version of competition data. Its content likely relates to sports outcomes, such as tournament results, for predictive modeling tasks.
A dataset related to the Titanic disaster, likely used for introductory machine learning tasks. It is hosted on Kaggle, which suggests it may contain passenger information or event details for predictive modeling. The specific content, size, and origin are not detailed in the provided metadata.
A dataset concerning the survival outcomes of passengers from the Titanic disaster. It is hosted on Kaggle, a platform for data science competitions and projects. The raw description suggests the data likely contains information on who survived.
Kaggle dataset titled 'Sales Prediction Using Machine Learning & Python'. The dataset likely contains tabular data for building predictive models. Its specific content, size, and origin are not detailed in the provided metadata.
School resource and learning environment data, likely related to IoT-based allocation in primary education. The dataset is hosted on Kaggle, but details on its creator, size, and specific contents are not provided. Its recency and temporal coverage are unknown.
A collection of pre-trained models implementing Monte Carlo Dropout techniques, sourced from Kaggle. The dataset's size, author, and last update date are unknown. The models are likely intended for research and experimentation in uncertainty quantification.
An AI education dataset published on Kaggle. The title suggests it contains data related to the practice of AI in educational contexts. Specific details on volume, authorship, and update recency are not provided in the available metadata.
A dataset from Kaggle focusing on student performance in exams. The specific number of records, features, and temporal coverage are not provided in the available metadata. The dataset likely contains scores and related attributes for analysis.
Learning_data.txt is a dataset hosted on the Kaggle platform. The dataset's specific content, size, and structure are not described in the available metadata. Its origin, authorship, and temporal coverage are currently unknown.