Python for Machine Learning and Data Engineering

Read this if you are new to Machine learning.

In this post, I want to summarize the useful tutorials to learn machine learning using python. Python provides a comprehensive set of tools for ML. iPython Notebook is one of the best tools that I have come across in recent times.

Tools/Packages:

  • Pandas — Importing data and for preprocessing
  • Numpy — Fast, Efficient Matrix manipulations
  • Sklearn — Machine learning toolkit.
  • iPython — Interactive environment to code.

These 2 videos will help you kickstart on iPython and Sklearn

Exploring Machine Learning with Scikit-learn

Diving Deeper into Machine Learning with Scikit-learn

If you are new to python, I would recommend the python course on Udacity

In the meantime, Kaggle also provides good tutorial set to try out python

http://blog.kaggle.com/2013/01/17/getting-started-with-pandas-predicting-sat-scores-for-new-york-city-schools/

http://blog.kaggle.com/2012/07/02/up-and-running-with-python-my-first-kaggle-entry/

If you find any other useful tutorials, please add it to the comment

Advertisements