Alternatives and similar repositories for tensor-house-data

Users that are interested in tensor-house-data are comparing it to the libraries listed below

• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆19Updated 2 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• massi82 / multi-armed-bandit
  ☆13Updated last year
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆47Updated 9 months ago
• amitvkulkarni / Data-Apps
  A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit
  ☆53Updated 2 weeks ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• datamllab / automl-in-action-notebooks
  Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
  ☆94Updated 2 years ago
• mito-ds / snowflake-streamlit-bank-performance-demo
  A demo of the Mito Streamlit Spreadsheet
  ☆18Updated last year
• dataman-git / Handbook-of-anomaly-detection
  ☆17Updated 8 months ago
• fedinb / Inventory-Optimization
  Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
  ☆41Updated 4 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• logicalclocks / aml_end_to_end
  AML End to End Example
  ☆55Updated 3 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆60Updated 2 years ago
• PacktPublishing / Hands-On-Predictive-Analytics-with-Python
  Hands-On Predictive Analytics with Python, published by Packt
  ☆52Updated 2 years ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• vb100 / deploy-ml-mlflow-aws
  Deploying Models to Production with Mlflow and AWS Sagemaker
  ☆22Updated 3 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 3 years ago
• smazzanti / tds_you_dont_need_statistics_to_run_experiments
  ☆13Updated 11 months ago
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆44Updated 4 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• dipanjanS / low_code_machine_learning_pycaret_workshop_2022
  This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…
  ☆21Updated 2 years ago
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆11Updated 2 years ago
• JayLohokare / linear-optimization-scheduling
  Linear optimization for job scheduling (implementation and research)
  ☆12Updated 6 years ago
• KevinFasusi / supplychainpy_notebooks
  Jupyter Notebooks for supplychainpy
  ☆22Updated 8 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆56Updated 9 months ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆57Updated 3 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 4 months ago