DrDub / artfeateng

Related projects ⓘ

Alternatives and complementary repositories for artfeateng

• firmai / python-for-finance
  ☆13Updated 5 years ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 5 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆23Updated 3 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆72Updated 2 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆61Updated 3 years ago
• firmai / business-datasets
  A selection of business datasets
  ☆17Updated 5 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆15Updated last year
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆55Updated 2 months ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• SimonOuellette35 / Introduction_to_PyMC3
  ☆40Updated 6 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆51Updated 3 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆52Updated 4 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 6 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆51Updated 3 years ago
• deburky / boosting-scorecards
  Boosting scorecards
  ☆12Updated last month
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 9 months ago
• stefan-jansen / topic-modeling
  ☆14Updated last year
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• hugopalmer / assortment_optimization
  Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…
  ☆18Updated 7 years ago
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆28Updated 4 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• PacktWorkshops / The-Unsupervised-Learning-Workshop
  An Interactive Approach to Understanding Unsupervised Learning Algorithms
  ☆26Updated 3 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆50Updated 2 months ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆30Updated 5 months ago
• SimonOuellette35 / SVmodels
  Stochastic volatility models
  ☆18Updated 6 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆57Updated 2 years ago