Practical Approaches on using Scikit-learn for Machine Learning Project

As part of pythontz event at The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha-Tanzania, I had an opportunity to present a talk on practical approach on using scikit-learn for Machine learning project. The talk aimed at giving an accessible introduction on how to use machine learning techniques using scikit-learn. Scikit-learn is a Python open source library designed to tackle machine learning problems from beginning to end. It provides efficient versions of a large number of common machine learning algorithms.

The talk covered the following aspects:

  1. Introduction to scikit-learn
  2. Data-preprocessing
  3. Feature engineering
  4. Model tuning and evaluation

The resources for this talk can be accessed here .We presented this talk together with Anthony Faustine