Workshops
tensor-house
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| Workshops | tensor-house | |
|---|---|---|
| 1 | 4 | |
| 354 | 1,162 | |
| -0.3% | - | |
| 6.3 | 7.5 | |
| 5 months ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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Workshops
tensor-house
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Supply Chain Uses Cases
I still have this on my reading list, it has quite some interesting SC applications. https://github.com/ikatsov/tensor-house
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How to use the code to do analysis with my data
Hi, how can i use the code of an analysis like this https://github.com/ikatsov/tensor-house/blob/master/pricing/price-optimization-multiple-time-intervals.ipynb but with my data?
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What are some applications of Data Science in Digital Marketing?
This is the companion github to the book, it doesn't have all the use cases, but there are a decent amount of code samples to get you started.
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Machine learning Applications in Marketing
Happy to help out! That website I linked has a link to the book PDF, so you can check it out yourself. I guess the Amazon reviews must have missed it, but there is a companion github for a selection of models in the book that may be helpful.
What are some alternatives?
it-salary-analysis - 💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI
EconML - ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Robyn - 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 through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
artificial-self-AMLD-2020 - Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"
models - A collection of pre-trained, state-of-the-art models in the ONNX format
nlpaug - Data augmentation for NLP
models - Models and examples built with TensorFlow
ZeroSync - A STARK proof to sync a Bitcoin full node in an instant.
vectordb-recipes - High quality resources & applications for LLMs, multi-modal models and VectorDBs
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
mta - Multi-Touch Attribution