You will get a custom Recommender System: content-based, collaborative, or hybrid
Project details
You will get a custom Recommender System designed by a PhD physicist with 6+ years in ML/AI R&D. I specialize in content-based, collaborative, and hybrid recommendation approaches - translating your data and business goals into working prototypes.
Whether you need a simple item recommender, a personalized user experience, or a full hybrid system with evaluation and deployment guide - I deliver research-grade solutions with production intent.
PhD in Fusion Science (Ghent University) | Cornac | Scikit-learn | Python 11+ years | Deployed recommender experience in esports and digital platforms.
Whether you need a simple item recommender, a personalized user experience, or a full hybrid system with evaluation and deployment guide - I deliver research-grade solutions with production intent.
PhD in Fusion Science (Ghent University) | Cornac | Scikit-learn | Python 11+ years | Deployed recommender experience in esports and digital platforms.
Machine Learning Tools
MLflow, pandas, scikit-learnWhat'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 |
Number of Scenarios | 1 | 1 | |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Milos
Machine & Reinforcement Learning, Godot Dev
Novi Sad, Serbia - 5:35 pm 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 use case description, data overview, and KPIs.
Data Audit
Explore and assess data quality, sparsity, and suitability for recommendation.