rasbt / pattern_classificationLinks
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
☆4,186Updated last year
Alternatives and similar repositories for pattern_classification
Users that are interested in pattern_classification are comparing it to the libraries listed below
Sorting:
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,593Updated 5 years ago
- Open Content for self-directed learning in data science☆2,975Updated 2 months ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,597Updated 8 years ago
- A curated list of data science blogs☆6,367Updated last year
- Deep learning in Python☆1,379Updated 4 years ago
- A collection of IPython notebooks covering various topics.☆2,611Updated 4 years ago
- Free resources for learning data science☆2,988Updated last year
- Python coded examples and documentation of machine learning algorithms.☆611Updated 4 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,803Updated 4 years ago
- common data analysis and machine learning tasks using python☆5,544Updated last year
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- General Assembly's Data Science course in Washington, DC☆798Updated 4 years ago
- Introduction to Statistics using Python☆908Updated 4 years ago
- Materials for my scikit-learn tutorial☆1,799Updated 2 years ago
- Jupyter notebooks from the scikit-learn video series☆3,739Updated last year
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,337Updated 3 years ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,452Updated 7 years ago
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,466Updated 2 years ago
- Code accompanying the book "Machine Learning for Hackers"☆3,685Updated 6 years ago
- General Assembly's Data Science course in Washington, DC☆663Updated 5 years ago
- Public material for CS109☆1,481Updated 2 years ago
- Official content for Harvard CS109☆1,779Updated 2 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,481Updated 9 months ago
- Open Source Data Science Resources.☆4,175Updated last year
- General Assembly's 2015 Data Science course in Washington, DC☆1,614Updated last year
- Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.☆1,294Updated 9 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,171Updated 3 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,149Updated 3 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,954Updated 8 years ago
- My notes and superstitions about common machine learning algorithms☆367Updated 8 years ago