Alternatives and similar repositories for medium-articles

Users that are interested in medium-articles are comparing it to the libraries listed below

• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 2 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆86Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆60Updated 2 years ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆54Updated 3 years ago
• conorosully / SHAP-tutorial
  SHAP with Python
  ☆42Updated 8 months ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆66Updated 2 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated 2 weeks ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last year
• BexTuychiev / medium_stories
  A repository containing data and files for my stories on Medium.com.
  ☆56Updated 4 months ago
• 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 4 months ago
• TNanukem / paper_implementations
  This repository holds my paper implementations made for my studies and my content production
  ☆35Updated 7 months ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆97Updated 3 weeks ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 9 months ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 4 years ago
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆23Updated 3 years ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• Brett-Kennedy / ClassificationThresholdTuner
  Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.
  ☆36Updated 7 months ago
• kennethleungty / Principal-Component-Regression
  Principal Component Regression - Clearly Explained and Implemented
  ☆12Updated 3 years ago
• PJalgotrader / Deep_forecasting-USU
  GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry
  ☆30Updated last month
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆133Updated 3 months ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• Statology / Python-Guides
  This repository contains the codes for the Python tutorials on statology.org
  ☆26Updated 4 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆208Updated 3 weeks ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• domingos108 / time_series_functions
  In this repository, there are implementations of: Residual Hybrid Systems; performance metrics; methods that can help the development of…
  ☆29Updated 2 years ago
• egorhowell / Medium-Articles
  Code I use in my medium blog/articles.
  ☆37Updated last week
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆42Updated 4 months ago