Alternatives and similar repositories for airbus

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

• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 6 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 5 years ago
• Abhishekmamidi123 / 100DaysOfMLCode
  Learning Machine Learning and showcasing my work for 100 Days.
  ☆16Updated 6 years ago
• WillKoehrsen / taxi-fare
  Work related to the Kaggle Taxi Fare prediction challenge
  ☆27Updated 6 years ago
• WillKoehrsen / fastai-numerical-linear-algebra
  ☆12Updated 6 years ago
• rajat5ranjan / AV-Innoplexus-Online-Hiring-Hackathon-Sentiment-Analysis
  Innoplexus Online Hiring Hackathon: Sentiment Analysis organised by Analytics Vidya
  ☆11Updated 6 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 7 years ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago
• mxbi / mlnd-capstone
  ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration
  ☆12Updated 7 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆30Updated 7 years ago
• elliebirbeck / model-deployment-flask
  'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
  ☆65Updated 3 years ago
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆32Updated 6 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• WillKoehrsen / classic_computer_science
  Classic Computer Science Problems with Python
  ☆28Updated 6 years ago
• WillKoehrsen / kaggle-automated-feature-engineering
  Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition
  ☆19Updated 7 years ago
• pawangeek / Competitions-ML
  My competitions approach
  ☆18Updated 3 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• dipanjanS / nlp_workshop_dhs18
  Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the pur…
  ☆66Updated 6 years ago
• priya-dwivedi / Udacity-ML-Nano-Degree
  ☆25Updated 8 years ago
• llSourcell / loss_functions_explained
  This is the code for "Loss Functions Explained" By Siraj Raval on Youtube
  ☆41Updated 7 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 6 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• llSourcell / backpropagation_explained
  This is the code for "Backpropagation Explained" By Siraj Raval on Youtube
  ☆36Updated 7 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 5 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 7 years ago
• abhishekkrthakur / e01
  ☆38Updated 5 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 4 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• HackerEarth-Challenges / machine-learning-challenge-1
  ☆12Updated 8 years ago