Predictive analytics

To access the source code, click <a href="https://jupyterhub.apps.stack.it.ntnu.no/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgit.ntnu.no%2FTDT4114%2Fchap_predictive_analytics.git&#38;urlpath=lab%2Ftree%2Fchap_predictive_analytics.git%2FREADME.md&#38;branch=main">here</a> to copy source files to Jupyter Hub (NTNU). And/Or clone/download from the GitHub repository: <a href="https://git.ntnu.no/TDT4114/chap_predictive_analytics">https://git.ntnu.no/TDT4114/chap_predictive_analytics</a>.

Prerequisites

You should already have basic knowledge about:
Before starting to work on the example codes, make sure the above packages are installed on your Python.

Resources

Objectives

Get to know your data (data understanding)
Using pandas to handle missing data in a dataset (data preparation)
Applying simple regression models to a dataset (modelling)

Content

Business Understanding
Data Understanding
Data Preparation
Modeling
Evaluation
Deployment

python/chap_predictive_analytics

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