I want a Jupiter file (.ipynb) (R programming) that takes this dataset from Kaggle that I am linking you to and performing three to four data mining algorithms to it to find some predictions and error rates for real estate performance. Examples could be PCA used to determine which factors are most important, multiple linear regression to predict prices, KNN, ... I need this to be done in R programming. The goal is to use data mining algorithms to use this real estate dataset to draw some conclusions.
I am looking for someone to finish this in the next 24-48 hours as it is not hard to do at all if you are proficient in R. All you need to focus on is using the dataset given from Kaggle, cleaning it if you need and then using the algorithms and displaying some visual data from that (statistical displays like histograms, graphs, etc.)
Dataset: [login to view URL]
17 freelancer chào giá trung bình$137 cho công việc này
Hi, Statistics is my favorite subject and will be glad to help. I have skills in Data Processing, Statistics, R Programming Language Statistical Analysis
I have read the instructions and the question ON R PROGRAMMING. I am well conversant with the field and I believe I can offer a high quality paper on this assignment delivered on time.
I am a phd scholar with with 4 years of experience in data analysis, use of R and python. You can view testimonial on my profile. https://www.freelancer.com/u/shish1992. ....
This project will be completed satisfying all of the clients requirements. Need more details on the requirements and the file mentioned in the description.
Hi, I have done most of the data mining techniques using R and I am able to finish all of those analysis you mentioned and send it to you in around 8 hours. I can begin working on the project immediately. Thank you