Introducing Python for Data Science

In this demo we cover:

• Using the IPython Notebook and Scikit-learn to begin solving the Kaggle Titanic machine learning problem.
• Natural Language Processing and Machine Learning for social media analysis using scikit-learn.
• Using Pandas and QGIS to solve the Future Cities London hackweekend challenge.
• High Performance Python using profiling techniques, Cython and new tools like Numba to calculate at C-like speeds

YOU MAY ALSO LIKE:

• High performance Python for Science (SkillsCast recorded in November 2018)
• Upgrading your engine without stopping the car: How the FT is improving our deployment practice with minimum disruption (SkillsCast recorded in September 2022)
• ML Pipelines from the Get Go (Without Tears) (SkillsCast recorded in August 2022)