Alternatives and similar repositories for TreeRoutes

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

• JesseKanter / checkVid
  ☆10Updated 5 years ago
• adibhandari / insight
  Insight project on animal shelter adoption
  ☆11Updated 5 years ago
• boada / data-science-interviews
  Data science interview questions and answers
  ☆10Updated 5 years ago
• MelissaKR / SmartRev
  SmartRev is a web app that is designed to scrape and classify critical reviews on pet food from Chewy's website into three categories of …
  ☆13Updated 4 years ago
• xiey1 / OncoMatch
  ☆11Updated 5 years ago
• jeffcfho / OrganicFoodBuyers
  Insight Data Fellows Project. Targeting organic food buyers using Instacart data.
  ☆14Updated 5 years ago
• jenniening / Pursearch
  This is a project for Insight Fellow Program
  ☆17Updated 3 years ago
• wimlds / bayarea-2019-scikit-sprint
  Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)
  ☆16Updated 6 years ago
• xiey1 / Personalized_Medicine_NLP
  Classification of genetic variations based on clinical evidence (text)
  ☆10Updated 5 years ago
• jenniening / DTNN_7ib
  This is a deep learning model used to predict molecular energy
  ☆13Updated 6 years ago
• snehathth / WWCodeDataScience
  Content, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience
  ☆27Updated 4 years ago
• esentri / datascience_blog_resources
  This repository contains additional resources complementing some data science blog posts on the esentri blog
  ☆14Updated 7 years ago
• kshedden / case_studies
  Teaching case studies
  ☆21Updated this week
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆456Updated 5 years ago
• JifuZhao / FreeML
  Data Science Resources (Mostly Free)
  ☆57Updated 7 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 8 months ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆671Updated 3 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆637Updated 2 years ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆503Updated 5 years ago
• pprett / aml-class-19
  Lviv Data Science Summer School 2019 lecture on Automated Machine Learning
  ☆11Updated 6 years ago
• ericmjl / Network-Analysis-Made-Simple
  An introduction to network analysis and applied graph theory using Python and NetworkX
  ☆1,091Updated 2 weeks ago
• finnqiao / bank-logistic
  ☆10Updated 6 years ago
• jenniening / deltaVinaXGB
  This is a machine-learning based protein-ligand scoring function.
  ☆52Updated 5 years ago
• jellis18 / ML-Course-Solutions
  Jupyter Notebooks for Andrew Ng's Machine Learning Coursera Class
  ☆31Updated 9 years ago
• Jhird / Deep-Learning-For-Drug-Protein-Interactions
  A Python implementation for training a neural network for predicting drug-protein interactions using Keras and Tensorflow
  ☆18Updated 7 years ago
• shubhamlal11 / Udacity-AB-Testing-Final-Project
  This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more tra…
  ☆52Updated 9 years ago
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• udacity / sagemaker-deployment
  Code and associated files for the deploying ML models within AWS SageMaker
  ☆478Updated last year