Pinned Repositories
audience_modeling_toolbox
Modeling the cross media exposure of audience
bayesian-statistics-coursera
Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz
bayesian-statistics-coursera-notebooks
This repository contains work on Coursera course - Bayesian Statistics including the experiments run for conceptual understanding, links that I found useful for reference and assignment and quiz solutions.
Competitive_Spend_Classifier
Utilize Clustering, RandomForest, and other Classification method to solve marketing questions such as Market segmentation and predict Competitive marketing spend
dsc-postgrad-repo-org-exercises
dsc-postgrad-repo-reorg
House-Price-Prediction-with-Time-Series
Time Series Analysis and Modeling - Forecast future house prices with SARIMA
HypothesisTesting-NorthwindEcommerce
Comprehensive statistical testing analysis with ecommerce data.
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
salary-predictor
Deep learning model using NLP to predict job salary based on Indeed job postings
bonniema's Repositories
bonniema/salary-predictor
Deep learning model using NLP to predict job salary based on Indeed job postings
bonniema/House-Price-Prediction-with-Time-Series
Time Series Analysis and Modeling - Forecast future house prices with SARIMA
bonniema/HypothesisTesting-NorthwindEcommerce
Comprehensive statistical testing analysis with ecommerce data.
bonniema/Competitive_Spend_Classifier
Utilize Clustering, RandomForest, and other Classification method to solve marketing questions such as Market segmentation and predict Competitive marketing spend
bonniema/dsc-postgrad-repo-org-exercises
bonniema/dsc-postgrad-repo-reorg
bonniema/audience_modeling_toolbox
Modeling the cross media exposure of audience
bonniema/bayesian-statistics-coursera-notebooks
This repository contains work on Coursera course - Bayesian Statistics including the experiments run for conceptual understanding, links that I found useful for reference and assignment and quiz solutions.
bonniema/cardinality_estimation_evaluation_framework
Evaluation framework and methods for estimating cardinalities of groups of sets
bonniema/Data-Science-Lessons
bonniema/dsc-join-statements-lab-online-ds-pt-081219
bonniema/dsc-postgrad-sql-exercises
bonniema/farmhash
Automatically exported from code.google.com/p/farmhash
bonniema/flatiron-school-data-science-curriculum-resources
Data Science Resources
bonniema/floc
FLoC
bonniema/gitignore
A collection of useful .gitignore templates
bonniema/housepriceprediction-multipleregression
Multiple Regression Project
bonniema/LeetCode-Solutions
A compilation of all the Leetcode solutions.
bonniema/LeetCode-SQL-Summary
*Summary of 102 LeetCode SQL questions* This note aims to help people learn and review SQL efficiently. The first draft mainly focuses on T-SQL/MS SQL Server.
bonniema/Machine-Learning-Notes
Curated notes about machine learning and big data
bonniema/mod3-project-set-up
bonniema/nbconvert
Jupyter Notebook Conversion
bonniema/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
bonniema/Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
bonniema/SQL-Challenge-Problem
bonniema/turtledove
TURTLEDOVE
bonniema/tweet_mood_analyzer
bonniema/virtual_ID_research
R&D for virtual ID assignment to ad event/impression records.
bonniema/virtual_people_examples
Examples of Virtual People modeling technique.
bonniema/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.