Alternatives and similar repositories for Rahul_Raoniar_Blogs

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

• mayer79 / ml_lecture
  intro to ML
  ☆28Updated last month
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆75Updated last year
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆76Updated 2 years ago
• analyticsbook / book
  ☆22Updated 2 years ago
• julianfaraway / LMP
  Linear Models with Python
  ☆22Updated 11 months ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆32Updated 3 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆57Updated 4 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆30Updated 3 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆21Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• trnnick / tsutils
  The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
  ☆12Updated 2 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆51Updated 6 years ago
• keithmcnulty / ona_book
  Handbook of Graphs and Networks in People Analytics
  ☆120Updated last year
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• trnnick / tsintermittent
  ☆13Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆52Updated last year
• fabryandrea / newsvendor
  Newsvendor model with Python
  ☆12Updated 6 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆61Updated last year
• finlytics-hub / churn_model-survival-analysis
  ☆11Updated 5 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 9 months ago
• demand-prediction-guide / public
  2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…
  ☆37Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• albahnsen / AdvancedMethodsDataAnalysisClass
  ☆18Updated 4 years ago