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ad_response_tutorial

This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.

apple_appstore_monetization

brl-workshops

Materials for BRL workshops on 4/2/19 and 4/11/19

cardiology-patient-records-analysis

citi-bike-user-engagement-analysis

cracking-the-coding-interview

data-lake-configuration-design

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

fashion-image-multi-classification

hello-world

First Github repository

hubspot-cost-structure-optimization

jiayingwu6.github.io

marketing-mix-modeling

It helps to understand how much each marketing & retail inputs are contributing to sales and performance

marketing_mix_modeling

Building Bayesian Hierarchical Linear Models and Conventional Linear Regressions to Understand How Historical Market Activities and Promotions Affects the Sales of the Items for Fast Food Chain Restaurants

mckinsey-analytics-hackathon-2018

missing_ds_semester

mix-modeling

nyc-taxi-rides-exploratory

online-learning-system-evaluation

python

r

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

sigma_coding_youtube

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

sql

vagrantboxes-heroku

Repository for http://www.vagrantbox.es

visualization-reporting-and-storytelling

sharing the stories through visualization in Tableau

youtube-trending-videos-analysis

zillow-home-value-prediction-1

Zillow Prize: Zillow’s Home Value Prediction (Zestimate)

zillow_db_design_and_value_prediction