Ozlem Yildirim's repositories
Customer-Segmentation
For a wholesale grocery distributor, the customers are categorized depending on their spendings. In this project, the unsupervised machine learning is used. The features of the dataset are analyzed by using Principal Component Analysis (PCA). For the clustering K-Means clustering and Gaussian Mixture Model are evaluated.
Breast-Cancer-Proteomes
Dividing breast cancer patients into separate sub-classes
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
models
Models built with TensorFlow
Student-Intervention-System
Investigated the factors that affect a student's performance in high school. Trained and tested several supervised machine learning models on a given dataset to predict how likely a student is to pass. Selected the best model based on relative accuracy and efficiency.
Train-a-Smartcab
Train a Smartcab How to Drive