Alternatives and similar repositories for creating_customer_personas

Users that are interested in creating_customer_personas are comparing it to the libraries listed below

• serhatyazicioglu / RFM-Analysis-for-Customer-Segmentation
  ☆14Updated 4 years ago
• mursideyarkin / customer_lifetime_value_prediction
  The main purpose of this repository is to model and forecast customer lifetime value.
  ☆11Updated 4 years ago
• serhatyazicioglu / AB-Testing
  ☆9Updated 4 years ago
• emreoksz / myprojects
  ☆10Updated 4 years ago
• nihandincer / Pricing-A-B-Testing-
  ☆14Updated 4 years ago
• mesudepolat / RFM_ANALYSIS
  customer segmentation with rfm
  ☆11Updated 4 years ago
• HilalGozutok / CLASSIFICATION_PROJECTS
  ☆11Updated 4 years ago
• serhatyazicioglu / House-Price-Prediction-with-LightGBM
  ☆10Updated 4 years ago
• nihandincer / ARL-AssociationRuleLearning-
  ☆12Updated 4 years ago
• HilalGozutok / ARL_Recommendation
  ☆12Updated 4 years ago
• mengyjia / Marketing-Analytics
  Complete machine learning analysis to solve marketing problems.
  ☆18Updated 7 years ago
• mvahit / dsmlbc5
  ☆12Updated 3 years ago
• mvahit / home_credit
  ☆23Updated 4 years ago
• mesudepolat / Hybrid-Recommender-System
  Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film …
  ☆12Updated last year
• melihbodur / Veri_cekme
  Beautifulsoup and Selenium
  ☆27Updated 4 years ago
• ezgisubasi / turkish-tweets-sentiment-analysis
  This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.
  ☆61Updated last year
• kpei / Customer-Analytics
  Customer Analytics & Financial Valuation for Zakka Canada. This is the associated iPython Notebook code.
  ☆25Updated 8 years ago
• SubeyteT / Customer-Lifetime-Value-Prediction-Online-Retail-Dataset
  CLTV is a method for predicting a how much a customer's going to create value for a firm in a specific time.
  ☆12Updated 3 years ago
• mvahit / effective_jupyterlab
  Using JupyterLab Effectively (JupyterLab’ı etkin bir şekilde kullanma)
  ☆41Updated 4 years ago
• mvahit / dsbootcamp
  ☆8Updated 4 years ago
• kubrakurt / machine_learning_resources
  ☆10Updated 3 years ago
• keremkargin0 / Turkish-ChatBot-with-Deep-Learning
  ☆10Updated 3 years ago
• cobanov / dataeng-bootcamp
  ☆88Updated 4 years ago
• TarikKaanKoc / prompt-engineering
  Few-Shot Prompting - Chain-of-Thought (CoT) Prompting - Hallucinations - Self-Consistency - Generated Knowledge Prompting - Tree of …
  ☆28Updated last year
• melisagozet / MachineLearningSummerCampMiuul
  ☆9Updated 2 years ago
• erenonal / XGBoost_churn_analysis
  Telecommunication Company Churn Project
  ☆7Updated 3 years ago
• cobanov / datascience_projects
  ☆21Updated 5 years ago
• cobanov / Feature_Selection
  This repo contains about feature selection techniques.
  ☆30Updated 5 years ago
• TirendazAcademy / Awesome-Data-Science-Resources
  Resources about data science, machine learning, deep learning, data engineering, and SQL.
  ☆93Updated 11 months ago
• cobanov / veri-bilimi-egitimi
  ☆26Updated 2 years ago