IBM / telco-customer-churn-on-icp4dLinks
Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
☆74Updated 5 years ago
Alternatives and similar repositories for telco-customer-churn-on-icp4d
Users that are interested in telco-customer-churn-on-icp4d are comparing it to the libraries listed below
Sorting:
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆136Updated 7 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
- Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to bu…☆46Updated 6 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 6 years ago
- Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices☆131Updated 4 years ago
- Hands-On Data Science for Marketing, published by Packt☆252Updated 6 months ago
- ☆74Updated 6 years ago
- Predicting Employee Churn with Supervised Machine Learning☆63Updated 4 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆53Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆82Updated 10 months ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 4 years ago
- {PySpark, R, Python}: Several Data Science projects☆16Updated 7 years ago
- Analysis for Customer Segmentation☆73Updated 5 years ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆266Updated 2 years ago
- Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…☆65Updated 5 years ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆94Updated 5 years ago
- Data Science Portfolio☆74Updated 4 years ago
- ☆26Updated 6 years ago
- ☆26Updated 4 years ago
- ☆39Updated 8 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Data Cleaning In Python and Julia with Practical Examples☆83Updated 6 years ago
- Data Cleaning and Exploration with Machine Learning☆55Updated last week
- Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"☆97Updated 2 years ago
- Address imbalance classes in machine learning projects.☆35Updated 4 years ago
- Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…☆45Updated 6 years ago
- Some of my notebooks of Datacamp courses.☆132Updated 5 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆86Updated 9 years ago