Alternatives and similar repositories for Data-Visualizations-Medium:

Users that are interested in Data-Visualizations-Medium are comparing it to the libraries listed below

• asdspal / dimRed
  python, scala, and pyspark code for few dimensional reduction algorithms
  ☆62Updated 7 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆29Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 2 years ago
• edge-ai-vision / dlcvtf2
  Deep Learning for Computer Vision with TensorFlow 2.0
  ☆19Updated 4 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 5 years ago
• DistrictDataLabs / brookings-nlp
  Teaching materials for the text analytics course
  ☆19Updated 6 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 10 months ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 5 years ago
• G-Hung / model-productization_article
  This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices
  ☆84Updated last year
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆23Updated 6 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆86Updated 9 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 8 months ago
• aviolante / sas-python-work
  ☆74Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• MridulS / pydata-networkx
  [Archived! Check out http://ericmjl.github.io/Network-Analysis-Made-Simple/] A short tutorial on network analysis using Game of Thrones, …
  ☆70Updated 4 years ago
• sayakpaul / Benchmarking-and-MLI-experiments-on-the-Adult-dataset
  Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
  ☆35Updated 5 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 2 weeks ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago