AI-Hacktober-MLSA
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mlsanigeria
📊 Data Collection for Project 3 - Nigerian Student's Year One Performance Prediction
📊 Data Collection for Project 3 - Nigerian Student's Year One Performance Prediction
Project Overview
In Project 3, we are working on building a Tabular Machine Learning model that predicts the Year One GPA (Grade Point Average) of Nigerian students. This model will rely on various features, including Jamb scores, Waec grades, experiences during the first-year session, reading patterns, consistency of class attendance, and more.
Our goal is to create a predictive tool that helps Nigerian students anticipate their Year One GPA and make informed decisions about their education.
What's Needed
We need your valuable input to collect the necessary data for this project. Your contribution involves filling out a survey form that captures essential information. Please note that:
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Authentic Information: It's crucial to provide authentic and accurate information as this will contribute to creating a reliable and useful predictive model.
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Data Anonymity: Rest assured that the survey form collects data anonymously and does not record any personal information. Your privacy is our priority.
How You Can Contribute
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Survey Form: Access the survey form using the following link: Survey Form Link.
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Complete the Survey: Fill out the survey form by providing the requested information honestly and accurately.
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Contribution Acknowledgment: Your participation in this data collection process is a valuable contribution to our project, even though it can't be recorded as a merged pull request on GitHub. This is a significant part of open-source contribution.
Let's Build a Predictive Tool Together!
By participating in this data collection process, you are helping us gather the data needed to train and test our predictive model. Your contribution plays a pivotal role in the success of our project.
Note: If you have any questions or need assistance with the survey form, please feel free to ask in the comments. Your engagement is greatly appreciated.
