Exploring the relationship between student test scores in California public schools with several factors using Multiple Linear Regression method.
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Updated
May 24, 2023 - HTML
Exploring the relationship between student test scores in California public schools with several factors using Multiple Linear Regression method.
Learning how supervised learning works and how it can be used to build highly accurate machine learning models.
This project consists on a regression model for analysis of a data collection of automobile industry. The main objectivo is to explore the relationship between a set of variables and miles per gallon (MPG)
Machine learning-based application for predicting the injury recovery time period a sports person based on injury type and diet plan.
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