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I will build a machine learning clustering and recommendation system using python
Artificial Intelligence and Machine Learning Professional
Motivated and detail-oriented AI/ML Engineer with a strong academic
foundation in machine learning, deep learning, and data analytics. Skilled
in Python, TensorFlow, and Scikit-learn for developing in...
About this Gig
I will build a professional clustering or recommendation system using Python and machine learning. I can perform customer/product segmentation using K-Means, Hierarchical Clustering, and DBSCAN, or develop recommendation systems using Collaborative Filtering, Content-Based Filtering, and Hybrid Recommendation techniques. The service includes data preprocessing, feature engineering, model development, evaluation, visualization, and actionable insights.
Expertise:
Feature learning
•
Clustering
•
Recommendation systems
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What clustering algorithms do you use?
I can use K-Means, Hierarchical Clustering, DBSCAN, and other suitable clustering algorithms.
Can you perform customer segmentation?
Yes. I can segment customers based on purchasing behavior, demographics, engagement, or other relevant features.
What type of recommendation systems can you build?
I can build Content-Based, Collaborative Filtering, and Hybrid Recommendation Systems.
Can you build a product or movie recommendation system?
Yes. I can develop personalized recommendation systems for products, movies, books, services, and other items.
How do you evaluate clustering models?
I can use metrics such as Silhouette Score.
How do you evaluate recommendation systems?
Depending on the system, I can use metrics such as Precision@K, Recall@K, MAP@K, NDCG@K, RMSE, or MAE.
Do you provide Python source code?
Yes. Python source code can be included with the selected package.
