Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

R workshop material

😎 Awesome lists about all kinds of interesting topics

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Multilabel News Classification using LSTM

📓Solutions to Introduction to Algorithms

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Experiments with semi-supervised learning methods.

DeepCC: a novel deep learning-based framework for cancer molecular subtype classification

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

multilabel classification of EHR notes

🤓 Build your own (insert technology here)

Companion webpage to the book "Mathematics For Machine Learning"

Deep Learning (with PyTorch)

Exciting Content, deep dive into learnings and increase your way of understanding.

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…

Lab Materials for MIT 6.S191: Introduction to Deep Learning

source codes based on PyTorch to analyze EHR

Completed Project - Predicting customer touchpoint using XGBoost tuned with GridSearchCV

整理和搜集网络免费的项目实战课程，包括 Java 项目实战，Python 项目实战，C++ 项目实战等

An example repo for how PU Bagging and TSA works.