Machine learning model to analyze students' performance and predict success likelihood.
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Updated
Sep 19, 2016 - Jupyter Notebook
#
student-intervention
Here are 7 public repositories matching this topic...
The repository contains various Machine Learning based solutions for data analysis, regression and clustering problems
machine-learning
student-intervention
boston-housing-price-prediction
titanic-survival-prediction
customer-segmentation
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Updated
Oct 30, 2018 - Jupyter Notebook
(Pretty Bad accuracy - Beginner Project) A Machine Learning project implemented to predict if a student is expected to fail the course or not, using school reports and questionnaires.
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Updated
Apr 9, 2017 - Python
Udacity - Machine Learning Engineer Nanodegree Project - Classify students in need for intervention
python
machine-learning
jupyter-notebook
supervised-learning
classification
udacity-nanodegree
student-intervention
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Updated
Jan 16, 2017 - HTML
Predicting the likelihood that a given student will pass or not!
machine-learning
random-forest
scikit-learn
supervised-learning
classification
logistic-regression
adaboost
python2
student-intervention
f1-score
gridsearchcv
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Updated
Oct 10, 2018 - Jupyter Notebook
Supervised learning for student intervention
python
education
machine-learning
supervised-learning
classification
student-intervention
educational-technology
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Updated
May 27, 2017 - HTML
Data Science Project for Student Intervention System in Python
machine-learning
jupyter-notebook
kaggle
dataset
classification
student-intervention
binary-classification
kaggle-dataset
datasci
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Updated
Apr 7, 2020 - Jupyter Notebook
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