Set Up python OpenNMT project and run it

My core competency lies in development and implementation of financial models based on academic literature. Programming Skills: Python, R, SQL Packages: numpy, scipy, statsmodels, sklearn, tensorflow, theano, keras, nltk, lxml, requests, openpyxl, pandas statistics - data mining / machine learning, pattern recognition, neural network, random forest, ridge regression, lasso, nearest neighbor, cluster analysis, logistic regression, logit / probit transformation, spline, kernel smoother, nonparametric statistics, support vector machines, cross-validation, model selection, principal component analysis ( PCA ), Monte Carlo, variance reduction, antithetic / importance sampling, Markov Chain Monte Carlo, EM algorithm, Gibbs sampler, KALMAN filter, Bayesian Statistics, conjugate prior, posterior distribution, expectation, multivariate distribution

Your project attracted my attention at first glance, because I've really rich experience in Machine Learning with R (R studio) and Python Programming. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project. If we get a chance to cooperate, I'll do my best to provide wonderful result. Some of the recent projects I have worked upon - 1) Text Classification and Categorization 2) Stock price forecasting using Neural Network 3) Face recognition using OpenCV / Python 5) LSTM RNN CNN for sequence classification and prediction 6) R programming real time assignment _R_ 7) Electricity Load forecasting using Deep Learning models using _Python(Keras)_Tensorflow 8) so on ..... Skills - R Python R Studio Sklearn Keras Tensorflow Flask Ping me for more details. Lets Discuss....!

i can assist you with Set Up python OpenNMT project and run it, I'm a machine learning export and has experiences of 5 years in this field. By python and the Tensor Flow, deep learning can be easily performed. The deep learning is widely used in many sectors such as Face recognition, Speech recognition, Object detection (by YOLO), Machine translation, etc. I'm a good mathematician and theoretical physician; deep learning also has succeeded in solving high-dimensional partial-integral differential equations (ex DGM). I'm trying to use DNN to solve extremely complicated Schrodinger equations. Deep learning is powerful tool, but we must know how to use it efficiently. Purpose of deep learning is to simulate how human think for given task. Once human can do, deep learning will simulate it!

Hi I can assist you with set up python open NMT prokect and run it. I already go through like this project. Hope you are satisfied after completion of project.

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