Machine Learning Resources

Introduction

In the final data science module we will explore time series analysis with a view to building basic forecasting models. Following on from this, we will look at Natural Language Processing before investigating how data can be collecting through webscraping.

Learning Objectives

• Perform basic time series analysis, including building basic forecasting models
• Use natural language processing to examine sentiment from text
• Build a basic webscraper to return data from a website

Files to Download

• Statsmodels
• TextBlob
• TextBlob in Google Colab
• Session Data
• Additional Skills

Slides

Session Attendance Log

Session 1

Session 2

Session 3

Session 4

Additional Resources

Time Series Step by Step Guide

A Guide to Forecasting using autoARIMA