Data Science with R, Capstone Project

Hello, Greetings of the day.!! Your project attracted my attention at first glance, because I've really rich experience in Machine Learning with R (R studion) and Python Programming. I am having 7+ years of experience in Data Science using tools like Python, R, Spark. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project.  If we have a chance to cooperate, I'll do my best to provide wonderful result. Some of the Projects I have worked upon - 1) Twitter Troll Classification using _Python_ 2) Horse Race Prediction using _R_ 3) Electricity Load forecasting using Deep Learning models using _Python(Keras)_ 4) Feature selection using BORUTA and prediction in _R_ 5) Employee Churn prediction Model using _Python_(2 Projects) 6) R programming real time assignment _R_ 7) Twitter Sentiment Analysis using Python _R_ 8) Youtube video Nostalgic Analysis _Python_ 9) Python Online Hackathon _Python_ 10) MSC thesis Project on Heart disease prediction using Sklearn and Keras _Python_ 11) Build a XGBoost model to increase the accuracy of a ML model _Python_ 12) Credit card fraud Detection _Python_ You can check my all projects and detailed portfolio on my profile. Ping me for more details. Lets Discuss....! Thanks, Abhyudaya D

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

I am glad to connect with you today. As a practitioner of R programming and Python for machine learning, I express my interest in your project:) But, may I ask what do you mean by Virtual Machine? Regards, Kiran

As I have done many courses from coursera in R language and I used Rstudeo to do my capstone projects. I've 4 month experience working with R language. Still I'm learning. So I think I'm right candidate for this job because I've done many capstone project to complete my project.

I am working on this domain now it will be good if you assign me the task. Thank you

hi, I am interested in the job you posted recently, I am a data scientist with over 5 years experience in data analytics. I can proficiently use R programming to analyze, visualize and forecast data. l look forward to working with you. Best regards, Atere

hi. there's no need to know to much on me. i know what you want because i did capstone project in my masters of data science. Same with my capstone proj in foundation of data science. no prob with your needs. consider it done. ill show you my generated output in my capstone to prove if you want !

Ready to work