vikua / ts-workshop

Related projects ⓘ

Alternatives and complementary repositories for ts-workshop

• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆36Updated 4 years ago
• drivendataorg / odsc-actionable-ethics
  "Actionable Ethics for Data Scientists" Workshop Material @ ODSC
  ☆10Updated 5 months ago
• jphall663 / GWU_rml
  ☆35Updated 9 months ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• pjkowalczyk / ODSC_StoredDataStories
  Materials (code & data) for the ODSC East 2020 Virtual Conference workshop: 'Building Data Narratives: An End-to-End Machine Learning Pra…
  ☆11Updated 4 years ago
• moovai / model_validation_tutorial
  Tutorial of machine learning model validation
  ☆15Updated last year
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆74Updated last year
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆40Updated 3 years ago
• zirmite / odsc-2022-statistics
  Repo for the "Statistics for Data Science" workshop at ODSC West 2022
  ☆17Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆50Updated 2 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆28Updated last year
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆41Updated last year
• jbernhard-nw / rec-workshop
  Getting started
  ☆18Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• uc-python / advanced-python-datasci
  Advanced Python for Data Science Workshop
  ☆13Updated 3 months ago
• mds47 / time-series-workshop
  ☆31Updated 6 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• ijmbarr / reducing-variance-ab-tests
  Some notes on techniques for variance reduction to increase the power of A/B tests
  ☆14Updated 5 years ago
• Dpananos / Categorical-Features
  A tutorial in impact encoding for categorical features
  ☆11Updated 6 years ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 4 years ago
• SeanPLeary / time-series-h2o-automl-example
  Time-series forecasting using H2O's AutoML example
  ☆48Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 5 months ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆52Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 3 weeks ago