Skip to content
#

feature-encoding

Here are 17 public repositories matching this topic...

This project uses predictive analytics to optimize marketing strategies by forecasting customer subscriptions to term deposits. It involves collecting and preprocessing data, training a model, and assessing its performance. Ongoing evaluation ensures adaptability to changing market dynamics, providing valuable insights for marketing analysis

  • Updated Jan 9, 2024
  • Jupyter Notebook

Classification of movies as 'Fresh', 'Rotten', 'Certified-Fresh' using categorical predictors as well as review sentiment. Performed feature encoding and used Decision Tree, Random Forest Classifiers. Tackled class imbalance issues by assigning weights to classes. Used tokenization to generate word vectors for reviews to predict movie status.

  • Updated Jul 19, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the feature-encoding topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the feature-encoding topic, visit your repo's landing page and select "manage topics."

Learn more