The main goal for the project is to build predictive models to estimate the likelihood of object survival, create customer segmentation, analyze customer feedback, and customize recommendations for Ziga Inc. Additionally, the project aims to analyze a wide variety of Key Performance Indicators (KPI) and perform object detection using various images.

Tasks for learners to complete:

- Utilize multiple machine learning algorithms to build predictive models for estimating the likelihood of object survival.

- Analyze individual personas, profiles, and behavioral patterns to create customer segmentation.

- Analyze data in text format to identify topics of customers' concerns.

- Customize recommendations based on multiple parameters.

- Analyze a wide variety of Key Performance Indicators (KPI) to build correlations and models for enhanced predictions and continuous improvements.

- Perform object detection using various images.

Final deliverables:

- Developed predictive models for estimating object survival likelihood.

- Customer segmentation analysis based on individual personas, profiles, and behavioral patterns.

- Analysis of customer feedback and reports to identify topics of concern.

- Customized recommendations based on multiple parameters.

- Correlations and models for enhanced predictions and continuous improvements based on KPI analysis.

- Object detection using various images.

i will continue to provide any additional support needed from these students. For the present or future. they will always have my email for additional support.