Alternatives and similar repositories for advanced-python-datasci

Users that are interested in advanced-python-datasci are comparing it to the libraries listed below

• uc-python / intermediate-python-datasci
  Intermediate Python for Data Science Workshop
  ☆24Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• BexTuychiev / medium_stories
  A repository containing data and files for my stories on Medium.com.
  ☆60Updated last year
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 3 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 3 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆60Updated 7 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 5 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 4 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆90Updated 3 years ago
• brentzucker / brownlee
  Code snippets from Jason Brownlee's ML and Deep Learning books.
  ☆12Updated 8 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• gslicht / Using_NLP_to_Predict_Almost_Bankruptcy
  ☆12Updated 5 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆29Updated 4 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated 2 years ago
• David-Woroniuk / Medium-Articles
  Consolidated codes for articles published on Medium
  ☆14Updated 5 years ago
• MaartenGr / streamlit_guide
  A guide on creating and deploying your Streamlit application to Heroku
  ☆50Updated last year
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆20Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆12Updated 4 years ago