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