KolatimiDave / Expresso-Customer-Churn-Prediction
This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict customer Churn. My 2nd place solution, log_loss of 0.246675. I've also added a section in the notebook to get a score of 0.246643, which could be the unofficial 1st place solution.
☆21Updated 3 years ago
Alternatives and similar repositories for Expresso-Customer-Churn-Prediction:
Users that are interested in Expresso-Customer-Churn-Prediction are comparing it to the libraries listed below
- Hackathon Solution for the Expresso Churn Prediction Challenge by Data Science Nigeria☆12Updated 4 years ago
- Customer-base segmentation over e-commerce sales data☆25Updated 4 years ago
- Iowa House Prices Kaggle (top 5%)☆13Updated 9 months ago
- ☆31Updated 10 months ago
- Book Projects☆24Updated 3 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- ☆13Updated 4 years ago
- Exploratory Data Analysis (EDA) is performed on the E-Commerce data obtained from a UK-based and registered non-store online retail to di…☆26Updated 6 years ago
- A Collection of Useful Notebooks to help in Feature Engineering.☆12Updated 4 years ago
- Workshop on Text Classification at 1729 Conference☆13Updated 2 years ago
- I am learning from Hugging Face.☆21Updated last year
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 7 years ago
- Unsupervised ML: Finding Customer Segments in General Population☆16Updated 5 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 4 years ago
- Challenge to do Machine Learning projects for 30 days in a row☆10Updated 4 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated 11 months ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Kubeflow installation on windows 10/11☆17Updated 2 years ago
- LeetCode Solution☆10Updated 3 years ago
- Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"☆10Updated 5 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆27Updated 4 years ago
- ☆18Updated 3 years ago
- Data Science Study Notes + Projects☆21Updated 2 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 3 years ago
- Implemented an A/B Testing solution with the help of machine learning☆50Updated 3 years ago
- This repo contains the material and projects for Udacity Data science Nanodegree term 2☆12Updated 2 years ago