Alternatives and similar repositories for PracticalMachineLearning:

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

• justmarkham / DataScienceSpecialization.github.io
  http://DataScienceSpecialization.github.io
  ☆12Updated 9 years ago
• justmarkham / DataSciencePython
  common data analysis and machine learning tasks using python
  ☆41Updated 8 years ago
• justmarkham / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆41Updated 8 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆59Updated 8 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆50Updated 8 years ago
• justmarkham / data
  Python related videos and metadata powering =>
  ☆11Updated 7 years ago
• justmarkham / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆39Updated 8 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆62Updated 10 years ago
• justmarkham / python-data-analysis-workshop
  Workshop: Intro to Python for Data Analysis
  ☆72Updated 10 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
• harshitahluwalia7895 / Free-Courses-on-Data-Science
  ☆25Updated 6 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 6 years ago
• justmarkham / scikit-learn
  scikit-learn: machine learning in Python
  ☆14Updated last year
• tirthajyoti / Algorithm-Data-Structures-Python
  Various useful data structures in Python
  ☆38Updated 5 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆35Updated 8 years ago
• SThornewillvE / Udacity-DataScience-Nanodegree
  Udacity Data Science Nanodegree Repository. Contains lecture notes, and dummy scripts as well as projects undertaken for the nanodegree.
  ☆30Updated 5 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
• yezhilengyue / Python_ML_Practice
  Following the instruction of "Machine Learning Mastery With Python"
  ☆41Updated 4 years ago
• PacktPublishing / Exploratory-Data-Analysis-with-Pandas-and-Python-3.x
  Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
  ☆44Updated 2 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 8 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• jmportilla / zero_to_deep_learning_udemy
  Repository for the Zero to Deep Learning™ Video Course on Udemy
  ☆32Updated 7 years ago
• PacktPublishing / Hands-On-Data-Analysis-with-NumPy-and-pandas
  published by Packt
  ☆43Updated 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
• cloudxlab / bigdata
  This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
  ☆42Updated 2 years ago
• PacktPublishing / Statistics-for-Data-Science
  Statistics for Data Science, published by Packt
  ☆22Updated 2 years ago
• mrdbourke / Udacity_DLND_Projects
  All of my projects from the Udacity Deep Learning Foundations Nanodegree.
  ☆12Updated 7 years ago
• robertmartin8 / udemyML
  Templates, code and notes for Kirill Eremenko's Machine Learning course
  ☆72Updated 5 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆149Updated 7 years ago