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attribution-modeling-budget-optimization

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awscodedeploy

awsuserdataeverytimerun

AWS userdata everytime run update issue solve

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

channel-attribution-model

An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of events leads to conversion (purchase). The trained model can also assign credits to channels. The model also incorporates user-context information, such as user demographics and behavior, as control variables to reduce the estimation biases of media effects.

customer_purchase_intention_index

Constructing a Consumer Purchase Intention Index Using Twitter Data Mining and Sentiment Analysis

dash

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

data-science

Collection of useful data science topics along with code and articles

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data_feedback

Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"

datascience_book

deep-conv-attr

An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"

deeplearning_tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

developing-data-products

John Hopkins course

diagrams

:art: Diagram as Code for prototyping cloud system architectures

digital-marketing-analytics

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

exploratory-notebooks

Unstructured Code with interesting analysis

global-attribution-mapping

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

jd-mta

Multi Touch Attribution: Simulation Code

jupyter-tabnine

Autocompletion with Deep Learning on Jupyter Notebook

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learn_data_science_in_100days

A step-by-step tutorial to learn Data Science

lime

Lime: Explaining the predictions of any machine learning classifier

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

madewithml

Learn how to responsibly deliver value with ML.

markov-chain

R based marketing attribution and basic budget optimization using Markov Chains

markovattribution