You will get a custom Machine Learning solution for tabular or time series data
Project details
You will get a custom Machine Learning solution designed by a PhD physicist with 6+ years in ML/AI R&D. I specialize in tabular and time series modeling - from exploratory analysis to production-ready predictions.
Whether you need a classification model, a regression pipeline, or a forecasting system - I deliver research-grade solutions with production intent.
PhD in Fusion Science (Ghent University) | LightGBM | PyTorch | Scikit-learn | Python 11+ years | Experience across esports, logistics, and biomedical domains.
Whether you need a classification model, a regression pipeline, or a forecasting system - I deliver research-grade solutions with production intent.
PhD in Fusion Science (Ghent University) | LightGBM | PyTorch | Scikit-learn | Python 11+ years | Experience across esports, logistics, and biomedical domains.
Machine Learning Tools
Keras, MLflow, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 30 days | 50 days | 70 days |
Number of Revisions | 4 | 6 | 8 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
About Milos
Machine & Reinforcement Learning, Godot Dev
Novi Sad, Serbia - 11:52 am local time
value and passion are making outside-of-the-box DS/ML solutions.
Worked in the esports (CSGO, Dota2, LoL) industry, as a huge Dota
2 fan since 2005 (DotA back then ;). Deployed several recommender
solutions. Now optimizing meat production at Volur.
Steps for completing your project
After purchasing the project, send requirements so Milos can start the project.
Delivery time starts when Milos receives requirements from you.
Milos works on your project following the steps below.
Revisions may occur after the delivery date.
Definition
Client sends dataset, problem description, and KPIs.
Exploration
Exploratory data analysis - data quality, distributions, key patterns.