Hello,
I am a graduate engineering student and a freelance machine learning engineer. I have completed the same task on Python very recently.I have chosen top 16 features from 254 total features for regression.
I have also worked on several machine learning projects recently such as:
- Stock market index forecasting using neural network ensembles. I have recently submitted this work to a an international conference on ANN. Utilized: Keras, Tensorflow, Random Forest, Extremely Randomized Trees, RBF kernels
- Prediction of the place of the next terrorist attack in the Middle East using global terrorism database. Utilized R, Xgboost, SVM, GBM
- Image classification with CNN. Utilized PyTorch.
- Implementation of face recognition algorithms (PCA LDA)
- Classification of experienced/inexperienced welding operators (statistical modeling).
- Implementing machine learning algorithms from scratch: Multilayer Perceptron, Naive Bayes, LSTM.
I would love to work on this project as well.
Best Regards,
Koray