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You will get guidance/tutoring in R package development

Lampros M.Status: Offline
Lampros M. Lampros M.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Machine Learning services from Lampros, priced and ready to go.
Lampros M.Status: Offline
Lampros M. Lampros M.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Machine Learning services from Lampros, priced and ready to go.

Project details

This project offers guidance & tutoring on R programming package development based on more than a decade of experience in developing R programming packages for

 • machine learning algorithms (supervised & unsupervised)
 • remote sensing
 • text analysis
 • image processing

The price is negotiable depending on the requirements.
Feel free to reach out for further discussion before the acceptance of the project
Machine Learning Tools
fastText, H2O, R, XGBoost

What's included $450

These options are included with the project scope.

$450
  • Delivery Time 5 days
  • Number of Revisions 0
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
4.9
69 reviews
93% Complete
(64)
6% Complete
(4)
1% Complete
(1)
1% Complete
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1% Complete
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Lampros M.Status: Offline

About Lampros

Lampros M.Status: Offline
R, Python, Remote Sensing, Deep Learning and Machine Learning Analyst
100% Job Success
4.9  (69 reviews)
Paramythia, Greece - 1:49 pm local time
For more than a decade, I utilize the R and Python programming languages to process, visualize and extract information from data and for almost five years for Geospatial analysis. I'm the author / maintainer of R packages (I've submitted more than 10 to CRAN). You can view my Github profile at the following weblink: github.com/mlampros

I work with R and Rstudio on a daily basis. I can work with machine learning algorithms based on almost all CRAN, Github or Gitlab repositories. I can utilize visualization R packages such as ggplot2, plotly, tmap, leaflet, mapview. I can create shiny applications (shiny.rstudio.com/gallery/) and report my results in .pdf, word, .html or any other available format using Rmarkdown.

Moreover, I'm capable of using the hybrid 'Rcpp' and 'RcppArmadillo' R packages to improve the efficiency of R code and the Keras and Pytorch deep learning libraries for regression, classification, object detection or image segmentation (with or without pre-trained models).

Steps for completing your project

After purchasing the project, send requirements so Lampros can start the project.

Delivery time starts when Lampros receives requirements from you.

Lampros works on your project following the steps below.

Revisions may occur after the delivery date.

Development

Development / Implementation of the R package

Testing & Debugging

Inclusion of test and debug potential errors during the implementation of the code

Review the work, release payment, and leave feedback to Lampros.