Alternatives and similar repositories for supplychainpy_notebooks

Users that are interested in supplychainpy_notebooks are comparing it to the libraries listed below

• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• yiaktan / Secondhand_Concert_Tickets
  ☆16Updated 7 years ago
• MiyainNYC / Distributed-Machine-Learning
  PySpark, Databrick, h2o, MLlib
  ☆19Updated 8 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 6 years ago
• tkralphs / FinancialModels
  A collection of basic financial models and helper scripts implemented in Python (using PuLP and Pyomo modeling languages) and AMPL.
  ☆26Updated 9 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• raffg / prophet_forecasting
  forecasting examples using Facebook Prophet
  ☆64Updated 4 years ago
• normanrz / dynamic-prices
  Dynamic pricing for selling perishable goods
  ☆64Updated 7 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• eigenfoo / random
  This is all my random garbage.
  ☆26Updated 2 years ago
• khakieconomics / stanecon_short_course
  Notes for short course on econometrics in Stan
  ☆10Updated 8 years ago
• Lyyoness / CS166-Modeling-Simulation-and-Decision-Making
  Learning how to apply advanced decision techniques such as real options, Monte Carlo simulation, network concepts from graph theory, prob…
  ☆29Updated 6 years ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 5 years ago
• davideguatta / tableau_portfolio_optimization
  ☆13Updated 6 years ago
• adilmoujahid / coronavirus-covid19-stocks-analysis
  Coronavirus-covid19-stocks-analysis
  ☆16Updated 5 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• dedupeio / hcluster
  Hierarchical Clustering Algorithms
  ☆36Updated 3 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• Brett777 / Predict-Churn
  ☆11Updated 6 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 4 years ago