hhjoy Goto Github PK

marketing_analytics-1

marketing analytics term projject

marketing_analytics-2

Data science for marketing

me414

ME114 Introduction to Data Science and Big Data Analytics 2015

mica_amma

Code snippets as part of "Advanced Methods for Marketing Analytics course" in PGDM(C) in MICA, Ahmedabad

mis-s381n-intro-python

mis184n-social-media-analytics

Assignments for UT Austin's MIS184N Social Media Analytics class

mis184n-text-analytics

Assignments for UT Austin's MIS184N Text Analytics class

mis381n-stochastic-control-and-optimization

Assignments for UT Austin's MIS391N Stochastic Control & Optimization class

mkt4

mkt_elections

mktproject2

Marketing Analytics Project 2

ml-foundations

Coursera Course: Machine Learning Foundations: A Case Study Approach

ml4biz

비즈니스를 위한 머신러닝 예제

ml_practice

multivariate-analytics

Analyzing customer churn for a telecom operator

my-hw-repo

clay mason repo

nb-iot_hardware

nia_2021_python_practice

object-detection-using-google-ai-open-images

online-customer-purchase

Marketing Analytics for customer segmentation and better targeting of customers

optimization

oreilly-intro-to-predictive-clv

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

package-marketinganalytics

Bundle functions necessary for marketing analytics in R.

pca_svd

Repository for workshop on 9/29/16, Dimensionality Reduction using PCA and SVD.

practical-machine-learning

predict-click-through-rates-on-display-ads

Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page he is visiting, what is the probability that he will click on a given ad? The goal of this challenge is to benchmark the most accurate ML algorithms for CTR estimation. All winning models will be released under an open source license. As a participant, you are given a chance to access the traffic logs from Criteo that include various undisclosed features along with the click labels.

predictive-modeling-take-home-exam

Take Home Exam for Intro to Predictive Modeling Course - UT MSBA Summer 2018

private_project

private project

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera