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 7 months ago
• julianfaraway / LMP
  Linear Models with Python
  ☆22Updated 9 months ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆75Updated last year
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆52Updated 6 years ago
• albahnsen / AdvancedMethodsDataAnalysisClass
  ☆18Updated 4 years 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
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆76Updated 11 months ago
• finlytics-hub / churn_model-survival-analysis
  ☆11Updated 4 years 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
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆75Updated 2 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 7 months ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-Algorithms
  Internship project
  ☆55Updated 4 years ago
• dataman-git / Handbook-of-anomaly-detection
  ☆18Updated 11 months ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆20Updated 3 years ago
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• kozodoi / DMC_2020
  Profit-driven demand forecasting with gradient boosted trees
  ☆10Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• PacktPublishing / Hands-On-Simulation-Modeling-with-Python
  Hands-On Simulation Modeling with Python, published by Packt
  ☆69Updated 2 weeks ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• trnnick / tsutils
  The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
  ☆12Updated last year
• keithmcnulty / ona_book
  Handbook of Graphs and Networks in People Analytics
  ☆120Updated last year
• MichaelAllen1966 / 1804_python_healthcare
  pdf, py, and jupyter notebook files for https://pythonhealthcare.org/
  ☆43Updated 4 years ago
• LeihuaYe / Machine-Learning-Rare-Event-Classification
  With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
  ☆15Updated 4 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 11 months ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆71Updated 2 years ago
• samirsaci / inventory-periodic
  Implement inventory management rules based on a periodic review policy
  ☆13Updated 7 months ago