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- Level Intermediate
- Duration 3 hours
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In this hands-on guided project, we will train regression models to find the probability of a student getting accepted into a particular university based on their profile. This project could be practically used to get the university acceptance rate for individual students using web application. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Auto Summary
Discover the art of predicting university admissions with our engaging course on Multiple Linear Regression, tailored for Data Science & AI enthusiasts. Led by expert instructors from Coursera, this intermediate-level project will equip you with the skills to train regression models and evaluate a student's likelihood of acceptance based on their profile data. Over the span of 180 minutes, you'll gain practical, hands-on experience in applying advanced data science techniques. Best of all, this course is available for free, making it an attractive option for learners eager to enhance their predictive analytics capabilities without financial commitment. Ideal for those with a foundational understanding of data science, this course is your gateway to mastering university admission predictions.