Alternatives and similar repositories for New-ML-Data-Science-Framework-Tutorials-By-EJ:

Users that are interested in New-ML-Data-Science-Framework-Tutorials-By-EJ are comparing it to the libraries listed below

• 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
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 8 months ago
• cog-data / ML_Interpretability_tutorial
  A tutorial about Machine Learning Interpretability
  ☆17Updated 6 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• MichaelAllen1966 / 1804_python_healthcare
  pdf, py, and jupyter notebook files for https://pythonhealthcare.org/
  ☆42Updated 4 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 4 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated last year
• shaygeller / Normalization_vs_Standardization
  ☆60Updated 5 years ago
• abhishekkrthakur / e01
  ☆38Updated 5 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆64Updated 4 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 5 years ago
• andrewwlong / odsc_workshop
  Clinical NLP workshop for ODSC
  ☆39Updated 5 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• nateraw / Tensorflow-for-NLP
  These are the files from my Tensorflow for NLP playlist on YouTube
  ☆15Updated 6 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 10 months ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 10 months ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆76Updated 2 years ago
• datarobot-community / examples-for-data-scientists
  ☆63Updated 11 months ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆62Updated 2 years ago