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1. Identifying-best-deals-recommended-paired-products-using-Association-Rule-Learning-Apriori Identifying-best-deals-recommended-paired-products-using-Association-Rule-Learning-Apriori Public

   Identifying best deals (recommended pairs for market optimization deals to optimize profits) using Apriori model which is an Association Rule Learning model.

   Jupyter Notebook 2 1

2. transcript-analysis transcript-analysis Public

   A Flask web app that uses AI to analyze uploaded PDF or DOCX documents. It summarizes content, extracts key topics, answers user questions, and visualizes insights using LDA.

   HTML 1

3. Customer-Spending-Behavior-Analysis Customer-Spending-Behavior-Analysis Public

   This project aims in Helping the Marketing Team to send customized marketing emails to groups of customers presenting similar spending behaviors using K-Means Clustering.

   Jupyter Notebook 1

4. Workforce-Industry-Optimization Workforce-Industry-Optimization Public

   The objective of this project is to examine how the factors correlated with productivity, such as team size, SMV (standard minute value—allocated time for a task), and idle workers, impact the over…

   Jupyter Notebook 1

5. Australian-Skills-Classification_TextAnalysis Australian-Skills-Classification_TextAnalysis Public

   This study analyzes the ASC dataset using NLP to explore its structure, categorization, strengths, and weaknesses in skill classification and evaluate the efficiency of categorization by comparing …

   Jupyter Notebook 1

6. 36120-25SP-AT1-12-25238736 36120-25SP-AT1-12-25238736 Public

   A ML-trained model is built that predicts if a college basketball player will be drafted to join the NBA league based on his statistics for the current season. Best predictions from the trained ML …

   Python 1