Alternatives and similar repositories for course-intro-ml-app

Users that are interested in course-intro-ml-app are comparing it to the libraries listed below

• drivendataorg / odsc-actionable-ethics
  "Actionable Ethics for Data Scientists" Workshop Material @ ODSC
  ☆10Updated last year
• talfco / clb-sentiment
  Start your journey into social media analysis of politicans by using Python (Tutorial)
  ☆21Updated 6 years ago
• DataForScience / Networks
  Network and Graph Algorithms From Scratch
  ☆112Updated 2 years ago
• DataForScience / Graphs4Sci
  ☆48Updated last year
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• 8080labs / bamboolib_binder_template
  bamboolib - template for creating your own binder notebook
  ☆21Updated 3 years ago
• cliffclive / datasciencemvp
  Data Science template for quickly setting up a project workflow; lightweight version of cookiecutter datascience.
  ☆16Updated 5 years ago
• 8080labs / showcases
  A collection of Python scripts
  ☆13Updated 5 years ago
• DataForScience / Timeseries_LL
  Time Series Modeling: ML and Deep Learning Approaches with Python
  ☆22Updated 4 years ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• xdssio / big_data_benchmarks
  big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
  ☆65Updated 5 years ago
• DataForScience / DataViz
  Data Visualization With Matplotlib and Seaborn
  ☆111Updated 11 months ago
• duarteocarmo / automation-post
  📝 A blog post about report generation and automation in python
  ☆40Updated 6 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• AllenDowney / ProbablyOverthinkingIt2
  New repo for projects related to my blog, Probably Overthinking It.
  ☆18Updated 4 years ago
• tcsai / data-mining
  Resources for the Data Mining for Bussiness and Governance course.
  ☆54Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆163Updated 6 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• EthicalML / explainability-and-bias
  ☆102Updated 2 years ago
• firmai / business-datasets
  A selection of business datasets
  ☆18Updated 6 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 4 years ago
• GokuMohandas / jupyter-config
  🌍 Configuration files for Jupyter features.
  ☆10Updated 6 years ago
• shawlu95 / Data-Science-Toolbox
  Examples and illustration of basic statistic concepts, probability distribution, Monte Carlo simulation, preprocessing and visualization …
  ☆55Updated 5 years ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆15Updated 4 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• FelixChop / MediumArticles
  Sample of Python codes from mathematical problems
  ☆110Updated 6 years ago
• cj2001 / data_science_neo4j_docker
  Docker template for basic data science packages to interface with Neo4j
  ☆14Updated 3 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 7 years ago