Data Science & Business Analytics Internship
I completed a remote Data Science & Business Analytics internship through The Sparks Foundation’s Graduate Rotational Internship Program (GRIP). My project was a simple supervised learning task using linear regression.
I prepared the data, plotted the relationship between study hours and scores, trained the model and reviewed its predictions.
Category
Data Science
Issued By
The Sparks Foundation
Internship Duration
4 Weeks
Work Location
Remote (Singapore Based)
Internship Task
Predicting scores from study hours
The task was to build a simple linear regression model using two variables: hours studied and percentage score. I used Python, Pandas, NumPy, Matplotlib and Scikit-learn in Jupyter Notebook.
The notebook covers data preparation, visualisation, regression fitting and prediction.
What I learned
I practised the steps of a small supervised learning project, including plotting data, fitting a model and reviewing predictions. It also gave me more time working with Python’s data analysis libraries.
Project Details
LinkedIn Post
This was a small learning project. The notebook and repository below show the work I completed.