Alternatives and similar repositories for StatElem

Users that are interested in StatElem are comparing it to the libraries listed below

• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆485Updated this week
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆216Updated last month
• pycaret / pycaret-demo-dphi
  pycaret-demo-dphi
  ☆20Updated 5 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆476Updated last month
• jbernhard-nw / rec-workshop
  Getting started
  ☆19Updated 5 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆407Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated this week
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆132Updated last year
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆150Updated 9 months ago
• khuyentran1401 / awesome-Python-data-science-books
  Probably the best curated list of data science books in Python
  ☆421Updated last month
• trenton3983 / DataCamp
  Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
  ☆93Updated this week
• trainindata / deploying-machine-learning-models
  Code for the online course "Deployment of Machine Learning Models"
  ☆876Updated last year
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆241Updated 2 years ago
• mattharrison / ml_pocket_reference
  Resources for Machine Learning Pocket Reference
  ☆268Updated 4 years ago
• aiplanethub / Machine_Learning_Bootcamp
  ☆90Updated 4 years ago
• aiplanethub / Data_Science_Bootcamp
  ☆111Updated 4 years ago
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆305Updated this week
• MMBazel / Springboard-DataScienceTrack-Student
  Springboard Program: Data Science Career Track - NLP
  ☆151Updated 4 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆346Updated 4 years ago
• towardsai / tutorials
  AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
  ☆1,013Updated last year
• DerekKane / Use-Cases-Data-Science
  A list of working examples of Data Science Use Cases and Applications by Industry
  ☆65Updated 5 years ago
• IvanReznikov / mdx-msc-data-science
  Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov
  ☆80Updated 2 years ago
• TomasBeuzen / machine-learning-tutorials
  A collection of tutorials for different machine learning tasks
  ☆65Updated 3 years ago
• aapatel09 / handson-unsupervised-learning
  Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
  ☆694Updated last year
• sharmaroshan / Statistics-for-Data-Science
  Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …
  ☆185Updated 2 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆447Updated last year
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆151Updated 4 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆361Updated 6 years ago