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COM6018 - Data Science with Python - Home COM6018 - Data Science with Python - Home
  • The COM6018 module book

Lectures

  • 000 COM6018 Lecture Notes
  • 010 Welcome to COM6018
  • 015 Getting set up
  • 020 Using Git and GitHub
  • 025 Reading and Writing Data
  • 030 Introducing NumPy
  • 040 Introducing Pandas
  • 050 Data Visualisation with Matplotlib and Seaborn
  • 060 An Introduction to Scikit-Learn
  • 070 Classification with Scikit-Learn
  • 080 Curve Fitting with Scikit-Learn
  • 090 Assignment 2 - Face Orientation Challenge
  • 100 Evaluating Classifiers

Course Notes

  • 000 COM6018 Course Notes
  • 010 Getting Started with Python
  • 015 Further Python
  • 020 Reading and Writing Data Files
  • 030 Numerical Computing with NumPy
  • 035 Some Common Problems
  • 040 Processing Data with Pandas
  • 045 Common Pandas Mistakes
  • 050 Exploratory Data Analysis and Visualization
  • 060 Introducing Scikit-Learn
  • 070 Classification with Scikit-Learn
  • 080 Curve Fitting with Scikit-Learn
  • 090 Evaluating Classifier Performance

Lab Classes

  • 000 COM6018 Lab Classes
  • 010 Getting Started with Python
  • 020 Reading data
  • 030 Introducing NumPy
  • 040 Working with Pandas
  • 050 Using Matplotlib
  • 060 Introduction to Scikit Learn
  • 070 Classification with Scikit Learn
  • 080 Curve Fitting with Scikit Learn
  • 090 Face Verification Assignment
  • 100 Evaluating Classifiers

Solutions

  • 000 COM6018 Solutions
  • 010 Getting Started with Python
  • 020 Reading data
  • 030 Introducing NumPy
  • 040 Working with Pandas
  • 050 Using Matplotlib
  • 060 Introduction to Scikit Learn
  • 070 Classification with Scikit Learn
  • 080 Curve Fitting with Scikit Learn
  • 090 Face Verification Assignment
  • 100 Evaluating Classifiers
  • Repository
  • Open issue

Index

By Jon Barker, University of Sheffield

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