Need a good R programmer to help finish a project! ***bid ONLY if you have time to work on this project & be a able to work with large data sets, pre_process data, feature analysis and know machine learning tools. **** if all goes well, I will work on other projects with you :)
Program need to be used is ONLY: R studio The assignment worth 35% marks. need to get at least 26 to pass the unit Files to complete the report: • from Geoff Heard [ [url removed, login to view] + [url removed, login to view] ] • Group/class collected data [ [url removed, login to view] + [url removed, login to view] ] • codes and structures from the pracs [ practical 2 + practical 3 ] • more structure for interpreting the group/class data the statistics and graphs required [ Prac 4 Week 6 ] • The report write up and exact structure for the report and question needed to be answers and found from the data [ REPORT ] • Some helpful readings from the reading list [ Assessing detection probabilities for the endangered growling grass frog (Litoria raniformis) in southern Victoria + Interspecific variation in the phenology of advertisement calling in a temperate Australian frog community + Integrating variability in detection probabilities when designing wildlife surveys: a case study of amphibians from south-eastern Australia + Impacts of climate change and urban development on the spotted marsh frog (Limnodynastes tasmaniensis)aec_2365 11..22 ] I also need the graphs to be look the same as the ones on prac 3 and 2 and I need them as a pic also, and the codes you have used and the output on different file just in case someone asked for them
I have a small dataset (600 x 15), to which I need to apply Random Forest Classifier. Need to run the classification and output the following: Truth table OOB ROC Important variables
I need an expert in Statistics Data Analysis and professional in (R software) because its included in some parts of this data analysis. Contact me to discuss further information. deadline in about 3 days
Need to run multiple scenario simulation of the economics of a cryptocoin based on different variables of the system to test feasibility, inflation, deflation, value, etc. Also suggest changes in algorithm to improve feasibility.
The details of requirement: The final task would be: need to reproduce the R-code of the paper: A Test of Covariance-Matrix Forecasting Methods. Which means that use 5 method that mention on the paper: [url removed, login to view] Historical Covariance. [url removed, login to view] Historical Covariance With Shrinkage. [url removed, login to view] Weighted Moving Average. 4. Dynamic Conditional Correlation GARCH 5. Generalized Orthogonal GARCH. to forecast the covariance-matrix and then evaluate the performance of these covariance-matrix by their ability in out-of-sample tests to minimize the variance of portfolio. (We do not need code the last difficult part: The Global Minimum-Variance Portfolio with a Volatility Target) Require experience in time series analysis model and financial data!!
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I am trying to break into the top 10% percentile of predictive data science competitions such as Analytics Vidhya and Kaggle. If you are among the top 10% percentile I would love to learn tricks of the trade from you.