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model-building-and-evaluation

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The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.

  • Updated Jul 5, 2022
  • Jupyter Notebook

This project is to build a model that *predicts the human activities* such as __Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing__ and __Laying__ as done in Smart-Watches.

  • Updated Mar 31, 2024
  • Jupyter Notebook

This repository contains the code and resources for a comprehensive machine learning project focused on forecasting the prices of pre-owned vehicles. Exploring a diverse dataset encompassing crucial car attributes such as year, mileage, fuel type, transmission, and more.

  • Updated Jul 25, 2023

The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.

  • Updated May 28, 2023
  • Jupyter Notebook

SalifortMotorsHRAnalytics repository showcases Data Analytics, Visualization, Python, Statistics, and ML skills. It contains markdown file, pickle files for models, and an executive summary. To run the markdown file, adjust the path variable for pickle files and comment out fitting and saving codes.

  • Updated Feb 2, 2024
  • Jupyter Notebook

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