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machine-learning-project

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data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.

  • Updated Dec 29, 2022
  • Jupyter Notebook

Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy o…

  • Updated Jul 7, 2022
  • Jupyter Notebook

Internship project of Machine Learnig on Enegry Efficiency to estimate the heating load (HL) and cooling load (CL) using two different approaches: a traditional linear regression approach and a state-of-the-art nonlinear non-parametric method called random forests.

  • Updated Jun 16, 2023
  • Jupyter Notebook

data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.

  • Updated Feb 17, 2023
  • Jupyter Notebook

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