Alternatives and similar repositories for coursera-machine-learning-AndrewNg-Python

Users that are interested in coursera-machine-learning-AndrewNg-Python are comparing it to the libraries listed below

• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆124Updated 8 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆155Updated 2 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
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆153Updated 7 years ago
• lazyprogrammer / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆71Updated 9 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆213Updated 6 years ago
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆88Updated 2 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
• SudalaiRajkumar / TensorFlow-Book
  Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
  ☆15Updated 8 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆99Updated 2 years ago
• lazyprogrammer / data-science-blogs
  A curated list of data science blogs
  ☆100Updated 7 years ago
• jalajthanaki / Get_Jobs_in_Data_Science
  Introduction and Career Guide for Data Science enthusiasts
  ☆9Updated 6 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• SudalaiRajkumar / NLP
  Generic codes related to NLP
  ☆85Updated 6 years ago
• ageron / awesome-tensorflow
  TensorFlow - A curated list of dedicated resources http://tensorflow.org
  ☆87Updated 7 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆211Updated 5 years ago
• aayushmnit / Competitions
  Codes written for some competitions
  ☆13Updated 8 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 6 years ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆383Updated 3 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆60Updated 9 years ago
• jalajthanaki / Awesome_Machine_Learning_Solutions
  A curated list of repositories for my book Machine Learning Solutions.
  ☆78Updated 7 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆35Updated 8 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆147Updated 8 years ago
• adeshpande3 / Pandas-Tutorial
  Tutorial on Using Pandas
  ☆84Updated 8 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆86Updated 7 years ago