Classification of data using random forest algorithm in R

Hello, my name is Andrés. I am an industrial engineer with more than four years of experience in the simulation, process improvement and data analysis fields. Within this experience I have developed several skills in statistics: regression analysis, time series, descriptive statistics, modeling, complex data analysis and so on. I am an expert using R, SPSS and Excel for statistic purposes. Most importantly, I want to build an excellent reputation here as a freelancer so I will do my very best. Best regards.

I have used R extensively for classification modelling i can use random forest , pca , k means etc..

A proposal has not yet been provided

Hi. I have good experience with machine learning classification types using R statistical models as required by your task. I shall be glad to help you out with this. Please feel free to discuss further. Thanks.

As a Post Graduate in Statistics and graduate in mathematics, i have a lot of experience in handling statistical data, especially in Time Series Modelling & Forecasting, Regression analysis,correlation , ANOVA, statistical hypothesis testing, Descriptive measure etc. I have done various projects based on statistical concepts with the help of different statistical software packages like R, SPSS, Minitab etc. You will highly appreciate my work if you give me a chance to do your work professionally

A proposal has not yet been provided

I am adept at using machine learning algorithms like random forest, xgboost, ada boost and neural networks in R. I have recently done similar work, in fact my first work on freelancer! You can check the review I got for it. Looking forward to working with you.

delivery: --------------------------------------------------------------------------------- (1) code in R (2) short pdf with description ---------------------------------------------------------------------------------- best regards, Joerg

Hi I'm a statistician from Uruguay and I've been using R for the last 7 years almost every day of my life, I could do what you need using R library randomForest. Cheers, Diego

I've worked on a number of Random Forest classification projects, and since you have not mentioned any specific data, do I understand you would like a generic supervised learning process for implementing RF?

A proposal has not yet been provided

I am a very motivated learner of Machine learning and have taken an online course on Machine learning by Stanford(Andrew Ng's) and Univ. of Washington's Machine Learning by Pedro Domingos' and I implemented random decision trees already. So, I think I would be able to finish the task very efficiently in time in R.

I have extensive experience in working with R. I can surely help you prepare a model which will allows for the accurate prediction of the required field. Please let me know in case of any question. Thanks!

I have implemented random forest and balanced random forest many times in my professional career. I know this algorithm entirely and I can tune all the parameters to achieve the accuracy label.

I've doing random forest on Titanic-Kaggle. I'm Statistician from reputable University. I can do it in 1 day

Random forest is considered one of the cutting-edge and preferred algorithms when interpretability of how results are reached is NOT required (algorithm will just be applied user would not need to know details about predictors contribution in the trees). Question: - what is the time span for completion of the task - what is the target variable (continuous, categorical, etc.) BR, ObserveDS