You will get Small Data Machine Learning Classification with Complete Reports
Top Rated
Project details
This workflow has been developed over three-years, with input from machine learning engineers, mathematicians and data scientists for enhanced performance. This workflow has seen great success and has yielded results that are displayed in both UK filed patents and publications in peer-reviewed journals. Results generated from this workflow will all be of DPI 350+ and will be given with written reports that give insightful interpretations to classification performance and feature influence.
Machine Learning Tools
Microsoft Excel, NVIDIA AI Platform, RWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 5 days
- Number of Revisions 2
- Number of Model Variations 20
- Number of Scenarios 2500
- Number of Graphs/Charts 5
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
Frequently asked questions
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AO
Andrew O.
Jun 8, 2026
Bioinformatics dry run
I was happy with this freelancer and would recommend them. Very thorough, conscientious and responsive freelancer to work with.
KB
Katia B.
Mar 3, 2026
Epidemiology Consultant (Biomarker Analysis & Aging Research)
JY
Jimmy Y.
Oct 6, 2025
Data Scientist Needed for PCA and K-Means Analysis
Thomas was exceptionally knowledgeable in statistical learning and data science techniques and clearly demonstrated strong expertise in the subject matter. He completed the project on time and provided a thorough, well-organized report that made complex analyses easy to understand. Communication was smooth and timely throughout the entire process and he consistently kept me updated on progress and next steps. Overall, Thomas was very professional, easy to work with, and delivered exactly what was needed. Highly recommend him for any data science or analytical projects.
About Thomas
Computational Biologist | Data Scientist | Bioinformatician (PhD)
100%
Job Success
Magherafelt, Ireland - 11:21 am local time
Services;
- Differential expression analysis (volcano plots, heatmaps, violin plots)
- Biomarker discovery and survival analysis (Kaplan-Meier curves, population setpoints)
- Machine learning for classification and regression (SVM, Logistic Regression, Random Forest, Neural Networks)
- Pathway analysis (pathfindR, Reactome, KEGG, Wikipathways)
- Exploratory data analysis (PCA, UMAP, t-SNE, statistical testing, customized plots)
- Drug repurposing analysis (sscMap)
Publication track record;
- DOI 10.1002/ctm2.70279 (1st Author)
- DOI 10.3390/biom14091163 (1st Author)
- DOI 10.3390/cells13191613 (2nd Author)
- DOI 10.59368/agingbio.20240035 (2nd Author)
Steps for completing your project
After purchasing the project, send requirements so Thomas can start the project.
Delivery time starts when Thomas receives requirements from you.
Thomas works on your project following the steps below.
Revisions may occur after the delivery date.
Data-Preprocessing
-Handling NA or missing values -Normalization of Feature Values -SMOTE to handle class balancing -train/test partitioning
Model Training
-70% Train 30% Test splits -10F Cross Validation with 3 external repeats -Linear v non-Linear kernel functions -Feature selection via custom Forward Feature Selection algorithm -Parameter optimization -Evaluation of Features across kernel types