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practical-web-scraping-for-data-science

Source code for 'Practical Web Scraping for Data Science' by Seppe vanden Broucke and Bart Baesens

practice_assignment

Practice assignment for the R programming class on Coursera

propensitytoconvert

Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's future behavior. Here we focus on building a combination of a Propensity to convert and a Propensity to buy models that can influence the kind of marketing campaigns we adopt and who we decide to target (predicted converters vs non-converters) leading to spend optimizations that eventually increase the ROI on digital marketing campaigns.

pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-tutorials

r-novice-inflammation

Software Carpentry introduction to R for novices using inflammation data.

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

talos

Hyperparameter Optimization for Keras Models

telecom-churn-

The business objective is to identify and model building high valued customers who are potential churners and recommend strategies by identifying important variables that are strong predictors of churn in churn phase.

threedevsandamaybe.github.io

udacity-data-wrangling-mongodb

Assignments and Projects for Udacity's Data Wrangling with MongoDB course

vim

The official Vim repository