- Predicting Churn with Scikit-Learn
- Random forests in Python
- Intuitive Classification using KNN and Python
- Sparse Random Projections
- Doing Data Science in Python
- Pattern Classification
- K-Nearest-Nieghbor in Scikit-Learn
- Kalman and Bayesian Filters
- Level-up Your Machine Learning
- Neural networks and a dive into Julia
- recommender systems in R
- Data Analysis and Machine Learning Projects
- Kaggle R Tutorial on Machine Learning
- Classification using pandas and scikit-learn
Scikit-learn is is probably the most popular general machine library for Python. It includes a broad range of different classifiers, cross-validation and other model selection methods, dimensionality reduction techniques, modules for regression and clustering analysis, and a useful data-preprocessing module.
Shogun is a machine learning library that is focused on large-scale kernel methods. Its particular strengths are Support Vector Machines (SVMs) and it comes with a range of different SVM implementations.
PyBrain (Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library) is a machine learning library that uses neural networks to focus on supervised learning, reinforcement learning, and evolutionary methods.
PyLearn2 is a machine learning research library - a library to study machine learning - focused on deep and convolution neural networks, restricted Boltzman machines, and auto-encoders.
PyMC is a python module for Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo fitting algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.
inspyred is a free, open source framework for creating biologically-inspired computational intelligence algorithms in Python, including evolutionary computation, swarm intelligence, and immunocomputing. Additionally, inspyred provides easy-to-use canonical versions of many bio-inspired algorithms for users who don't need much customization.
MOE Metric Optimization Engine. A global, black box optimization engine for real world metric optimization.