Name: Graduate Admission Prediction with Pyspark ML
Brand: Coursera
Availability: OnlineOnly
Rating: 4.7 (10 reviews)

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Learner Reviews & Feedback for Graduate Admission Prediction with Pyspark ML by Coursera

4.7

stars

34 ratings

About the Course

In this 1 hour long project-based course, you will learn to build a linear regression model using Pyspark ML to predict students' admission at the university. We will use the graduate admission 2 data set from Kaggle. Our goal is to use a Simple Linear Regression Machine Learning Algorithm from the Pyspark Machine learning library to predict the chances of getting admission. We will be carrying out the entire project on the Google Colab environment with the installation of Pyspark. You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in the real-life. We are only using this data for the learning purposes. By the end of this project, you will be able to build the linear regression model using Pyspark ML to predict admission chances.You will also be able to setup and work with Pyspark on the Google Colab environment. Additionally, you will also be able to clean and prepare data for analysis. You should be familiar with the Python Programming language and you should have a theoretical understanding of Linear Regression algorithm. 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....

Top reviews

May 13, 2021

Great project very clear and easy to understand. Thank you for this great project i hope you will make the same project for regression, deeplearning in pyspark.Thank tou Coursera

Aug 10, 2022

Great walkthrough w good explanations of the concepts used.

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1 - 10 of 10 Reviews for Graduate Admission Prediction with Pyspark ML

By Gina S

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Dec 18, 2022

Very well explained. I wouldn't say it is intermediate though, it was quite easy and basic.

By Aruparna M

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Feb 1, 2021

More details were required.

By Cheikh B

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May 14, 2021

Great project very clear and easy to understand. Thank you for this great project i hope you will make the same project for regression, deeplearning in pyspark.

Thank tou Coursera