yanxiali / User_Churn_Predictions

Related projects ⓘ

Alternatives and complementary repositories for User_Churn_Predictions

• nikitaa30 / Content-based-Recommender-System
  It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
  ☆71Updated 4 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• hamzaben86 / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆65Updated 3 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆45Updated 6 years ago
• klaudia-nazarko / iv-and-woe-python
  This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information val…
  ☆48Updated 2 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆43Updated 4 years ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 5 years ago
• vjvishaljha / Recommender_Sys
  A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
  ☆17Updated 5 years ago
• Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
  Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
  ☆60Updated 4 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆66Updated 4 years ago
• parulnith / Analysing-Machine-Learning-Models-with-Yellowbrick
  Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools
  ☆13Updated 5 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆28Updated 7 years ago
• susanli2016 / SMS-Message-Spam-Detector
  A simple Flask API to detect spam or ham using Python and Sklearn
  ☆112Updated last year
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆57Updated 5 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆130Updated 6 years ago
• suregirishkumarreddy / Product-Recommendation-System
  My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…
  ☆28Updated 3 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆144Updated 4 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆30Updated 5 years ago
• susanli2016 / Natural-Language-Processing-with-Deep-Learning-in-Python-
  The repository for the course in Udemy
  ☆17Updated 5 years ago
• jalajthanaki / Job_recommendation_engine
  This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
  ☆63Updated 6 years ago
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆41Updated 3 years ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆24Updated 4 years ago
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆135Updated last year
• csaluja / JupyterNotebooks-Medium
  ☆124Updated 6 years ago
• Nikhilkohli1 / Olist-Marketing-Analytics
  Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
  ☆37Updated 3 months ago
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆56Updated 6 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆41Updated 3 years ago
• pedrohserrano / anomaly-detection-health-insurance
  📈 EDA and ML on Health Insurance Claims
  ☆18Updated 6 years ago