Skip to content
View DayoSamuel's full-sized avatar

Block or report DayoSamuel

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Customer-Churn-Prediction-Model Customer-Churn-Prediction-Model Public

    Constructing a Customer Churn Prediction Model using Python and evaluating the results of both Random Forest and Decision Tree algorithms

    Jupyter Notebook

  2. Customer-s-Feedback-Analysis-and-Classification-using-Text-mining-and-sentiment-analysis Customer-s-Feedback-Analysis-and-Classification-using-Text-mining-and-sentiment-analysis Public

    Customer’s Feedback Analysis and Classification using Text mining and sentiment analysis

    Jupyter Notebook

  3. Ecommerce-Data-Analysis-and-Purchase-pattern-discovery-using-Apriori-Algorithm- Ecommerce-Data-Analysis-and-Purchase-pattern-discovery-using-Apriori-Algorithm- Public

    Ecommerce Data Analysis and Purchase pattern discovery using Apriori Algorithm

    Jupyter Notebook

  4. Experimentation-and-Prediction-of-Online-Shopper-s-purchasing-Intention Experimentation-and-Prediction-of-Online-Shopper-s-purchasing-Intention Public

    Experimentation and Prediction of Online Shopper’s purchasing Intention using decision tree and keras (neural network)

    Jupyter Notebook 1

  5. Experimentation-on-Online-Retail-Data-using-two-clustering-Algorithms-to-discover-distinct-groups.- Experimentation-on-Online-Retail-Data-using-two-clustering-Algorithms-to-discover-distinct-groups.- Public

    Experimentation on Online Retail Data using two clustering Algorithms to discover distinct groups.

    Jupyter Notebook