anilcogalan

anilcogalan's Stars

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python35.9k2135.5k4.4k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python25.1k1401.8k2.4k

• microsoft/lida

  Automatic Generation of Visualizations and Infographics using Large Language Models

  Language:Jupyter Notebook2.8k41106309

• boratutumluer/airbnb-prediction-project

  :world_map: Istanbul Airbnb Price Prediction on Interactive Map

  Language:Python9000

• denizturhanlar/Bike-Sharing-Demand-Prediction

  Language:Jupyter Notebook4100

• suleymanacikgoz/Bank_Term_Prediction_Project

  Language:Python4100

• Yaseraz/A-B-Testing

  Language:Python4100

• Yaseraz/CLTV-PREDICTION

  Language:Python40

• Yaseraz/FLO-CLTV

  Language:Python40

• YasinenfaL/Stock-Market-Analysis

  BIST-30 Clustering & Correlation

  Language:Jupyter Notebook4101

• duyaryigit/hybrid_recommender_system

  Hybrid Recommendation System

  Language:Python30

• duyaryigit/rating_products_sorting_reviews_amazon

  Rating Product & Sorting Reviews in Amazon

  Language:Python30

• keremcanoztekin/AB_Testing

  Language:Python30

• YasinenfaL/Recommend-System-Armut

  Language:Python3100

• YasinenfaL/Rule-Based-Classification

  Language:Python3100

• YasinenfaL/Stock-forecasting-with-Monte-Carlo-simulation

  Language:Python3100

• denizturhanlar/AB-Testing

  Language:Python20

• keremcanoztekin/keremcanoztekin

  20

• keremcanoztekin/RFM-Analysis

  Language:Python20

• mgamzec/Machine-Learning-with-Tree-Based-Models-in-Python

  Language:Jupyter Notebook2000

• YasinenfaL/A-B-Testing

  Language:Python2100

• YasinenfaL/Amazon-Rating-Product-Sorting-Reviews

  Language:Python2100

• YasinenfaL/CRM-Analytics

  Customer Segmentation

  Language:Python2100

• YasinenfaL/FLO-CLTV

  Language:Python2100

• YasinenfaL/Selenium-web-scraping

  Language:Python210

• beyzaayilmaz/Customer_Segmentation_with_RFM

  An e-commerce company wants to segment its customers and determine marketing strategies according to these segments. For this, the behavior of customers will be defined and groups will be formed according to the clutches in these behaviors.

  Language:Python1100

• cagatayfilburnu/ab-testing-on-control-group-dataset

  This study aims to specify hypothesis tests in Python and analysis AB Testing results.

  Language:Python10

• cagatayfilburnu/rating-product-sorting-reviews-in-amazon

  This project aims to calculate Average Rating with current reviews and specify 20 review for product.

  Language:Python10

• denizturhanlar/Ruled-Based-Classification

  Language:Python110

• ecemolgun/Bank-term-deposit-prediction

  Language:Python10