Description I need this report based on R Language and, I have the data set, you make the scenario because after this report I have visualization part so I need you to work on. I will send you the dataset and requirements.
I need help with analysis of statistics datasets, using regression models, confounding, effect modification, time series analysis and further developed detailed analysis. Familiar with possible bias and errors explanation regarding study design. Max. size 5 pages per assessment. Work in Stata or R.
So this is a RandomForest machine learning program for Classification which is available in C++ and R source code. The job is to make this program to be able to do an imputation for missing data using the RandomForest algorithm in C++. Currently, there is a package in R which adds the program code to imputation. Well, the TASK is to make this additional R code in this R package in C++, so it will ...
Need a team with experience in telecom churn prediction to build models with R(preferably) base on a given data set. Only the customer's attributes (birthdate, usage, id,charges...etc) will be provided for the security purpose.
More details will be shared in PM, please dont bid, if you are not an expert. Milestone will be release at the end of job and you will have to show that you are eligible to do the tasks.
We're looking for a freelancer with experience in market research tools to edit and make a few additions to a marketing report for a client of ours. This will be an ongoing week-long project that may involve 10-20 pages of writing plus the inclusion of screenshots from software tools.
Respected Freelancers I am looking for someone who's expert in RStudio statistical open source software usage and can help me for an urgent project. The freelancer must have expert knowledge of RStudio and willing to work immediately. Looking forward for competitive bids from professional candidates. May hire multiples guys. Regards Customer Support Team
I want the solution manual for Introduction to Time Series Analysis and Forecasting, 2nd edition by Montgomery, Jennings, Kulahci; Wiley, 2015, 978-1-118- 74511-3
Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...