https://github.com/yessasvini23/cognizant-ai-virtual-experience-program

Cognizant-AI-Virtual-Experience-Program
https://github.com/yessasvini23/cognizant-ai-virtual-experience-program

artificial-intelligence data-science data-visualization machine-learning

Last synced: 6 days ago
JSON representation

Cognizant-AI-Virtual-Experience-Program

• Host: GitHub
• URL: https://github.com/yessasvini23/cognizant-ai-virtual-experience-program
• Owner: yessasvini23
• License: mit
• Created: 2024-05-16T16:10:24.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-16T16:50:37.000Z (6 months ago)
• Last Synced: 2024-05-16T17:32:04.227Z (6 months ago)
• Topics: artificial-intelligence, data-science, data-visualization, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 5.95 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Cognizant-AI-Virtual-Experience-Program

**Enrolled in 'Artificial Intelligence Virtual Experience Program' by `Cognizant` as a 'Data Scientist' with affiliation to `Forage Australia`. Worked on a business problem statement with 'Gala Groceries' by implementing Exploratory Data Analysis (EDA), Data Modeling, Model Building and Interpretation, Machine Learning Production & Quality Assurance. Also, gained insights for optimizing the required business problem while contributing recommendations for the given business problem.**

* Built a `Unified Modelling Language (UML) Diagram` for business strategic planning.

* Incorporated data exploration, data cleaning & data Merging (`Data Wrangling`).

* Performed `feature engineering` & used `k-fold cross validation`.

* Implemented data modelling by utilizing `Random Forest Regressor` model for prediction.

* Computed accuracy using `mean absolute error (MAE)`. 

* Performed `Feature importance` to check relevant features in the dataset.

* Made alluring & comprehensible `presentations` for the client.