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

• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆256Updated 7 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆163Updated 6 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆89Updated 7 years ago
• adeshpande3 / Pandas-Tutorial
  Tutorial on Using Pandas
  ☆84Updated 8 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆61Updated 5 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 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
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆153Updated 7 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• wimlds / conferences
  List of Machine Learning & Data Science Conferences
  ☆82Updated 5 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆326Updated 2 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆111Updated 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 6 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 7 years ago
• cdeweyx / Hitchhikers-Guide-Machine-Learning
  Guide explaining and implementing fundamental machine learning algorithms in Python
  ☆171Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 4 years ago
• rounakbanik / movies
  Second Springboard Capstone Project: A Movie Recommender
  ☆86Updated 7 years ago
• bgweber / StartupDataScience
  ☆293Updated 6 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated last year