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linearregression

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This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.

  • Updated Mar 31, 2025
  • Python

This project involves parsing bike-sharing data from the CityBikes API and merging it with location-based details from Foursquare and Yelp APIs, conducting data exploration, visualization, and regression modeling to examine the correlation between bike station characteristics and adjacent points of interest.

  • Updated Apr 18, 2024
  • Python

In Supervised Machine Learning, Regression algorithms helps us to build a model by which we can predict the values of a dependent variable from the values of one or more independent variables. For example, predicting future demand for a product based on previous demand. In this tutorial, we will use linear regression to predict salaries using Li…

  • Updated Nov 6, 2017
  • Python

This GitHub repository contains code for a student performance prediction model utilizing linear regression. The model is built using relevant student data features and implements one-hot encoding for categorical variables. The repository includes data preprocessing, model training, evaluation, and prediction visualization using matplotlib.

  • Updated Mar 25, 2024
  • Python

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