I need R programmer to do data cleaning, create 3-4 visualization, and few ML models
$40-100 CAD
Bezahlt bei Lieferung
I will tell you the dataset from Kaggle, you will have to clean the data in a meaningful way, create 4-5 appropriate visualization, and apply the Regression model, Naive Bayes classification, and K-means clustering model in RStudio.
Projekt-ID: #35302086
Über das Projekt
20 Freelancer bieten im Durchschnitt $90 für diesen Job
Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Mehr
Hi, I have 8 years of working experience in R, Power BI, Tableau Desktop/Server, SQL Server, Data Prep/KNIME. I have developed and designed professional-quality Reports for different clients. Looking forward to discus Mehr
Hi, I have a lot of experience with the R language. I also have a master's degree in data science. My reviews prove to you that I worked well on R projects.
Hello sir, I have master degree in statistics and applied economics with five years of experience in this areas. I have done similar projects to your case, contact me and You will have a high quality output.
Hi, I'm data scientist expert in machine learning and statistics inferencial. I can help you with this project, write me and talk me about the details.
Dear employer, I hold master's in statistics and continuing with Ph.D. in applied statistics making me suitable for this job. Am an experienced statistic writer for three years. Besides I am skilled; R programmers sps Mehr
Hi, I have seen your project description and I am able to so this easily. I want to work with you. I am data analyst with more than 3 years of experience. I assure you a quality of work with given time. I am waiting to Mehr
I am using R in my daily activities. As I am a data scientist I have worked on all the mentioned algorithms
Can help you with the task, based on you price and task description, i can do it in 4 days, or even faster.