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1. travel-guide-adaptive-rag travel-guide-adaptive-rag Public

   The goal of this project is to develop a RAG system using Agent from LangGraph to improve the travelling experience of tourists.

   Jupyter Notebook 1

2. Conversational-QA-bot-using-RAG-and-GPT-3.5 Conversational-QA-bot-using-RAG-and-GPT-3.5 Public

   Bu projede bir e-ticaret sitesi için müşterilerin ürünler hakkında sorular sorup cevap alabileceği bir Soru-Cevap uygulamasını RAG ile oluşturacağız.

   Jupyter Notebook

3. CRM-churn-prediction-using-Pycaret CRM-churn-prediction-using-Pycaret Public

   In this project, we will be predicting which of our customers are at risk of churn in the future.

   HTML

4. CRM-customer-segmentation-using-BigQuery-on-GCP CRM-customer-segmentation-using-BigQuery-on-GCP Public

   We will build a customer segmentation model (K-Means) using BigQuery on Google Cloud

5. deploy-ml-model-on-GKE deploy-ml-model-on-GKE Public

   We will containerize a machine learning model and then deploy it on Google Kubernets Engine.

6. Aciklanabilir-Yapay-Zeka-ve-SHAP-Uygulamalari Aciklanabilir-Yapay-Zeka-ve-SHAP-Uygulamalari Public

   SHAP değerlerinin ve grafiklerinin nasıl yorumlanacağına dair detaylı bir anlatım.