i had experience in machine learning field with scikit-learn. i worked on different data type including time series, table content and image. i have good theory knowledge and experiences in deep learning architecture like DNN, CNNs and RNNs . all of deep learning implementations that i have done were writen in python with tensorflow and keras framework.
i like to learn new thing in machine learning domain problems.
the projects that i had done:
facial emotion detection in both categorical and dimensional mode.
pests image classification with few shot learning.
costumer churn prediction in renewal services.
object detection for fashion styles.
suggesting food category based on micro and macro nutrients.