/University-of-Texas-AI-ML-Projects-

Projects completed in AI/ML PG Program

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University-of-Texas-AI-ML-Projects-

Graded projects will appear in my e-learning profile after they have been graded.

https://eportfolio.mygreatlearning.com/hunter-sparrow

Program Skills

  • Widely used AI & ML tools and technologies

  • Solve business problems using AI & ML

  • Build Machine learning and Deep Learning Models

  • Computer Vision & NLP

Overview of Graded Projects in Course

Project 1: Python Programming

Foodhub Order Analysis (submitted 4.24)

Objective

  • The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to get a fair idea about the demand of different restaurants which will help them in enhancing their customer experience.

Practice projects (non-graded)

  • Practice 1: Google Play Store Case Study
  • Practice 2: Uber Case Study

Project 2: Machine Learning Model Building

Personal Loan Campaign Purchase Prediction

Objective

  • To predict whether a liability customer will buy personal loans, to understand which customer attributes are most significant in driving purchases, and to identify which segment of customers to target more.

Practice projects (non-graded)

  • Project 3: Predict housing prices (Linear regressions)
  • Project 4: Delinquent Analysis (Decision Trees)
  • Project 5: Product Segmentation (K-means)

Project 3:

Credit card users Churn Prediction

Objective

Project 4:

Bank Customer Churn Prediction

Project 5:

Plant Seedling Classification

Project 6:

  • e-Commerce Customer Review Sentiment Analysis

Extra Credit

  • Statistical Analysis Practice
    • obtain various descriptive statistical summaries of the households. The income-expenditure dataset contains the income-expenditure of the individuals having a family.

Reference:

The curriculum has been designed by the faculty at McCombs School of Business at the University of Texas at Austin.