- Data Cleansing
- Data Analysis
- Pandas (Python Package)
- Data Manipulation
- Predictive Modeling
- Data Processing
- Regression Analysis
- PySpark
- Applied Machine Learning
- Machine Learning
- Big Data
Graduate Admission Prediction with Pyspark ML
Completed by Marc-Aurélien NEGRI
December 12, 2022
1 hours (approximately)
Marc-Aurélien NEGRI's account is verified. Coursera certifies their successful completion of Graduate Admission Prediction with Pyspark ML
What you will learn
Learn to build the Linear Regression Model using Pyspark ML to predict admission
Learn to setup Pyspark and work with Pyspark dataframes in Colab Environment
Learn to clean and prepare data for analysis.
Skills you will gain
