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svm-training

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In this repository i performed a support vector classfication on real life data in order to make a machine learning classfication model , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e SVM Classification

  • Updated Oct 25, 2023
  • Jupyter Notebook

The "Diabetes Prediction" project focuses on predicting the likelihood of an individual having diabetes using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Support Vector Machines (SVM), this project offers a comprehensive solution for accurate classification.

  • Updated Sep 16, 2023
  • Jupyter Notebook

To see if drivers were being profiled. I built a Support Vector Machine (SVM) classifier and a randomForest classifier to predict a driver's race given the traffic's stop's details. Successful classification will indicate the existence of bais in the traffic stops' data.

  • Updated Jul 28, 2022
  • Python

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