ijeffking / Machine_Learning_Problems

Testing repository for various machine learning algorithms and methods using public test data sets

Machine Learning Algorithm/Coding Test Repository

Sample test data are published at UCI.

Python Packages to install

• Some nice list of Python packages for Python coding. Another its link is here.
• Standard Python packages include pandas, numpy, scipy, matplotlib, scikit-learn, seaborn
• H2O for R and Python
  • The programs run on Java SDK.
  • For Python version, check out the installation instruction here. Basic introduction to its useage is here. If there is a conflict between Linux OS system pip and Anaconda's pip, and you wish to install it on Anaconda envrionment, then use /root/anaconda/bin/pip *** instead of pip install ***
  • Some of its powerful tools are Deep Learning and GBM. Its deep learning so far primarily focuses on the model of multi-layer, feedforward neural networks for predictive modeling.
• Other useful packages include
  • seaborn for data visualization.
  • Orange for graphic modeling instead of source coding.
  • Theano for deep learning and tensor calculation.
  • numba for JIT (just-in-time compilation) when it involves (especially looping) many generic Python codes and numpy.