treselle-systems / CDR_analysis_using_K_means_with_RLinks
Call Detail Record (CDR) is the information captured by the telecom companies during the Call, SMS and Internet activity. These information’s provides insights about the customer needs when it is used with customer demographics. Most of the telecom companies using call detail record information in the fraud detection by clustering the user prof…
☆17Updated 8 years ago
Alternatives and similar repositories for CDR_analysis_using_K_means_with_R
Users that are interested in CDR_analysis_using_K_means_with_R are comparing it to the libraries listed below
Sorting:
- Official Microsoft GitHub Repository containing code samples for SQL Server☆16Updated 8 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆94Updated 8 years ago
- R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks☆123Updated 8 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 7 months ago
- Some work on Kaggle data for fun☆64Updated 8 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with …☆125Updated 8 years ago
- This repository will host the resources which simplify the learning curve for those interested in learning the key aspects and nuances in…☆24Updated 11 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆58Updated 9 years ago
- Repository for exploratory data transformation & visualization talk☆27Updated 9 years ago
- Code for Springboard Capstone Project -- Analyzing 2 proposed tweaks to the Yelp rating system☆41Updated 6 years ago
- This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.☆144Updated 7 years ago
- Petit example of credit scoring analysis☆140Updated 13 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- ipython notebooks for analyzing Twitter data☆58Updated 5 years ago
- Code snippets for data acquisition and organization in data science.☆22Updated 9 years ago
- Code used in Kaggle competitions☆23Updated 8 years ago
- Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable S…☆68Updated 10 years ago
- Public Kaggle Code and Info☆43Updated 10 years ago
- This repository contains materials for demos, tutorials, and talks by Dato Inc.☆172Updated 9 years ago
- An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes☆140Updated 8 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 8 years ago
- Performance Benchmarks☆21Updated last year
- This is where all of the IPython Notebooks will be kept from the blog☆60Updated 8 years ago
- 2nd Place Solution in Kaggle Airbnb New User Bookings competition☆128Updated 9 years ago
- PySpark Notebook and Shiny App for Demo☆35Updated 8 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 9 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆36Updated 7 years ago
- This repository contains my ML scripts in R☆33Updated 8 years ago
- Getting Started With R☆234Updated 11 years ago