Alternatives and similar repositories for applied-machine-learning

Users that are interested in applied-machine-learning are comparing it to the libraries listed below

• 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
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆82Updated 9 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆53Updated 9 years ago
• amitkaps / full-stack-data-science
  Full Stack Data Science in Python
  ☆257Updated 7 years ago
• lazyprogrammer / data-science-blogs
  A curated list of data science blogs
  ☆100Updated 7 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆156Updated 7 years ago
• jayinai / ml-cheatsheet
  A constantly updated python machine learning cheatsheet
  ☆168Updated 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
• jalajthanaki / Awesome_Machine_Learning_Solutions
  A curated list of repositories for my book Machine Learning Solutions.
  ☆81Updated 7 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆171Updated 3 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 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
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆166Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆90Updated 2 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆238Updated 5 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 9 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆150Updated 9 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆61Updated 9 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 8 months ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆284Updated 9 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆438Updated 4 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆36Updated 9 years ago
• adeshpande3 / Pandas-Tutorial
  Tutorial on Using Pandas
  ☆84Updated 8 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆42Updated 7 years ago