Sentiment Analysis in R

hi I can deliver this project to you in 12 hours. With proper preprocessing and report. we can have a call to discuss about some benchmark accuracies that you need to reach.

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 studio) and Python Programming. I am having 5+ 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 || Link - https://www.freelancer.com/u/invincible1428 Ping me for more details. Lets Discuss....! Thanks, Abhyudaya D

1. Expert in Statistics, regression analysis, Sentiment Analysis in R , have done many projects 2. Have done many projects in Excel, created many dashboards, and Business intelligence tool for Forex markets. Experienced MBA Finance as well. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction

I am Math Fin graduate from a top university with hands on experience in macro modeling and financial economics. 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 Stochastic Calc,Econometrics, Macroeconomics statistics - data science / 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, conditional expectation, multivariate distribution..

Will be done in a day