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root-mean-square-error

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End to end machine learning pipeline for house price prediction using various models, the pipeline includes exploratory data analysis (EDA), data preprocessing, models training & evaluating

  • Updated Jul 20, 2024
  • Jupyter Notebook

This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies

  • Updated May 12, 2024
  • Jupyter Notebook

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.

  • Updated Dec 22, 2019
  • Java

Population Prediction forecasts the Haggis population on a mountain. Ecologists have recorded the population over five years and have satellite estimates. The goal is to predict the true population 12 months ahead using machine learning and time series analysis techniques. This project is for the COM6509 - Machine Learning and Adaptive Intelligence

  • Updated Jun 25, 2024
  • Jupyter Notebook

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