Alternatives and similar repositories for machine_learning_from_scratch

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

• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 7 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆259Updated 7 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆110Updated 7 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆143Updated 7 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆180Updated 4 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆94Updated 7 years ago
• yanneta / pytorch-tutorials
  ☆242Updated 2 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆166Updated 7 years ago
• lavanyashukla / neural_networks
  ☆50Updated 5 years ago
• wimlds / conferences
  List of Machine Learning & Data Science Conferences
  ☆82Updated 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
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆120Updated 8 years ago
• bgweber / StartupDataScience
  ☆295Updated 6 years ago
• cdeweyx / Hitchhikers-Guide-Machine-Learning
  Guide explaining and implementing fundamental machine learning algorithms in Python
  ☆172Updated 7 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆53Updated 9 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆59Updated 6 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated 2 years ago
• amitkaps / applied-machine-learning
  Applied Machine Learning @ http://amitkaps.com/ml
  ☆39Updated 6 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆166Updated 7 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• words-sdsc / coursera
  Data sets and scripts for Coursera Big Data Specialization.
  ☆172Updated last year
• fotisk07 / Deep-Learning-Coursera
  Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
  ☆137Updated 7 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆85Updated 8 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago