Alternatives and similar repositories for Numpy-Tutorial-SciPyConf-2018

Users that are interested in Numpy-Tutorial-SciPyConf-2018 are comparing it to the libraries listed below

• TrainingByPackt / Beginning-Application-Development-with-TensorFlow-and-Keras
  Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
  ☆46Updated 2 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 4 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆141Updated 2 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• PacktPublishing / PythonDataAnalysisCookbook
  Python Data Analysis Cookbook, published by Packt
  ☆130Updated 4 years ago
• WillKoehrsen / pytorch_challenge
  ☆111Updated 3 years ago
• RubensZimbres / Repo-2018
  Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageM…
  ☆173Updated 3 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 7 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆125Updated 8 years ago
• PacktPublishing / Mastering-Machine-Learning-with-scikit-learn-Second-Edition
  Mastering Machine Learning with scikit learn Second Edition, published by Packt
  ☆80Updated 4 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• Apress / deep-learning-w-python
  Source code for 'Deep Learning with Python' by Nikhil Ketkar
  ☆40Updated 7 years ago
• Apress / monetizing-machine-learning
  Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
  ☆137Updated 7 years ago
• PacktPublishing / Computer-Vision-with-Python-3
  Computer Vision with Python 3, published by Packt
  ☆61Updated 2 years ago
• Apress / advanced-data-analytics-using-python
  Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
  ☆67Updated 7 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 2 years ago
• ankit-rathi / Data-Science-with-Python
  ☆33Updated last year
• pmarcelino / blog
  Centralized location for storing, organizing, and managing both my blog posts and related data.
  ☆50Updated 2 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆159Updated 2 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆61Updated 5 years ago
• PuneetGrov3r / MediumPosts
  Repo for all files related to my Medium Posts
  ☆90Updated 6 years ago
• PacktPublishing / scikit-learn-Cookbook-Second-Edition
  scikit-learn Cookbook Second Edition, published by Packt
  ☆102Updated 2 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆112Updated 8 years ago
• PacktPublishing / Python-Machine-Learning-By-Example
  Python Machine Learning By Example, published by Packt
  ☆120Updated 2 years ago
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆193Updated 5 years ago
• PacktPublishing / Python-End-to-end-Data-Analysis
  Code repository for Python End to end Data Analysis, Published By Packt
  ☆46Updated 2 years ago
• suleka96 / Bayesian_Hyperparameter_optimization
  This repo contains an implementation of Bayesian Optimization based on the Gaussian process.
  ☆10Updated 6 years ago