I will help you implement machine learning algorithm using R and write report

  • 4.4
  • (5)
I will help you implement machine learning algorithm using R and write report
I will help you implement machine learning algorithm using R and write report
I will help you implement machine learning algorithm using R and write report
I will help you implement machine learning algorithm using R and write report
I will help you implement machine learning algorithm using R and write report
I will help you implement machine learning algorithm using R and write report

Project Details

Why Hire Me?


📱Click to Connect on Whatsapp to Discuss Your Project

Combining strong machine learning knowledge with R programming expertise, I provide guidance in not just implementing algorithms but also in understanding their underlying mechanics. My focus is on empowering you to build robust models and present your findings in clear, detailed reports.

Key Strengths:

  • Proficient in supervised and unsupervised algorithms using R

  • Skilled in caret, randomForest, ggplot2, and other essential R packages

  • Practical understanding of real-world data problems and model selection

  • Clarity in report writing for academic, business, or research use

  • Support tailored to beginner, intermediate, or advanced learners


What I Need to Start Your Work

To deliver the most suitable solution, please share the following before we begin:

  • Project Details

    • Overview of the problem statement and intended outcomes

    • Specific machine learning approaches or models to be considered

  • Data & Description

    • Dataset(s) in .csv, .txt, or R-readable formats

    • Details on source, variable types, and prior preprocessing

  • Exact Requirements

    • Goals such as prediction, pattern recognition, or clustering

    • Any constraints (e.g., need for model interpretability or speed)

  • Reporting Preferences

    • Expected level of explanation and preferred visualizations

    • Academic or organizational formatting expectations (if any)

  • Communication Preferences

    • Preferred contact channel (email, phone, etc.)

    • Deadlines or expected timeline for delivery

Portfolio

Predicting Patient Readmissions with Machine Learning in R at a U.S. Urban Hospital

Built a classification model in R using logistic regression and random forest to predict 30-day patient readmission. Helped a hospital target high-risk discharges and reduce avoidable readmissions.

Customer Credit Risk Scoring in R Using Classification Algorithms for a U.S. Lending Startup

Implemented decision trees and logistic regression in R to classify customers into low, medium, and high credit risk tiers. Enabled better loan approval decisions and reduced default rates for a fintech company.

Employee Attrition Segmentation Using Clustering in R for a U.S.-Based Tech Firm

Applied K-means clustering in R to group employees by attrition risk based on workload, role type, and tenure. Insights informed retention programs and improved HR forecasting.

Process

Customer Reviews

5 reviews for this Gig ★★★★☆ 4.4

5 Stars
(2)
4 Stars
(3)
3 Stars
(0)
2 Stars
(0)
1 Stars
(0)
Rating Breakdown
  • Seller communication level ★ 4.6
  • Recommend to a friend ★ 4
  • Service as described ★ 4.6

🇿🇦
Jacob Nguyen
5 4 July 2025

caret package setup was confusing at first but he guided me and even gave extra learning tips beyond the project really supportive



🇧🇪
Sophie Martin
4.3 4 July 2025

clustering results were visually great but the report missed a small section on assumptions once i pointed it out he fixed it same day



🇺🇸
Farouk Almasri
4 4 July 2025

used my finance data for regression and he chose the right variables to avoid overfitting helped me understand the logic step by step



🇮🇪
Tom Eriksen
4 4 July 2025

classification accuracy was decent but would have liked a bit more comparison between models still the code was clean and well commented



🇦🇷
Ananya Desai
4.7 4 July 2025

very helpful in explaining random forest model i had no clue about confusion matrix but now i can explain it in my own words


Doesn’t matter you are a company or a student!

Frequently Asked Questions

I will give you the price after checking the project details.

It will be given after discussion by looking at the complexity of the task and our mutual understanding.

You can trust me because I have been working as a data analyst from past 7 years and have worked on projects across multiple industries.

Refund will be discussed after our mutual discussion and complexity of task. If I completely fail to deliver the task, I will refund 100% of the amount.

50% will be in advance and 50% after the delivery of complete task. This is negotiable and can be discussed and finalized after our discussion.

Data confidentiality is paramount. I adhere to strict data security protocols and ensure that all client information is handled with the utmost discretion and security.

Yes, I have experience across various industries and can tailor my approach to meet the specific needs and nuances of your sector.

I cater to various levels, from beginners to advanced. The service is customized based on your current knowledge and goals in machine learning and R.

Yes, I can assist with a wide range of machine learning projects, whether you're interested in supervised, unsupervised learning, or specific applications.

Absolutely, practical examples and real-world datasets are integral to the service, enhancing your understanding of applying machine learning algorithms in R.

I ensure a balanced approach, focusing equally on the technical implementation in R and the theoretical understanding of machine learning concepts for a well-rounded learning experience.