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This repository contains some of the machine learning projects I have done.

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My-Machine-Learning-Code

This repository contains some of the machine learning projects I have done. The projects are listed below:

Bird sound detection using random forest, LSTM and CNN k-fold cross validation for social network ads classification PCA for wine classification using logistic regression Kernel-PCA for wine classification using logistic regression Linear Discriminant Analysis (LDA) for wine classification

Comparing the performance of different classical machine learning models in a 2-class classification task

  • k-Nearest Neighbor
  • LDA
  • Logistic Regression
  • Random Forest

Comparing the performance of different machine learning models in the classification of German Traffic Sign Recognition Benchmark (GTSRB)

  • k-Nearest Neighbor
  • Linear Discriminant Analysis
  • Logistic Regression
  • Linear Support Vector Machine
  • RBF Support Vector Machine
  • Random Forest
  • Convolutional Neural Network (CNN)

Exploring the performance of machine learning models with feature selection for high dimensional data.

  • Random Forest
  • LDA
  • Logistic Regression