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šŸ’« About Me:

šŸ”­ Iā€™m currently working on Data Science Projects
šŸ‘Æ Iā€™m looking to collaborate on projects involving M.L. and A.I.
šŸŒ± Iā€™m currently learning Amazon Web Services for Data/Machine Learing
šŸ’¬ Ask me about Data Science Projects in Python & R, Cloud (AWS)
āš” Fun fact - I am kind of šŸ—£ļø talkative person

šŸŒ Socials:

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šŸ’» Tech Stack:

C Python R AWS Oracle Anaconda SQLite MicrosoftSQLServer Postgres MySQL NumPy Pandas scikit-learn Jira Plotly

šŸ“Š GitHub Stats:



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šŸ” Top Contributed Repo

Prince Kheni's Projects

car-pricing-classification icon car-pricing-classification

This repository contains the project where the goal is to develop a machine learning model that can accurately predict car prices based on various features. We explored multiple models including K-Nearest Neighbor, Decision Tree, Catboost Classifier, and Light Gradient Boosting Classifier.

credit-bankruptcy icon credit-bankruptcy

This repository showcases project to predict the likelihood of borrowers defaulting on a loan using Machine Learning models. The task is to perform binary classification to classify borrowers as "will default" or "will not default". An Excel sheet calculates bank profits using these predictive models.

data-analysis-and-visualization icon data-analysis-and-visualization

Repository of Data Analysis and Visualization Homework: Contains my work for the class using Tableau, Excel, and Python. Explore the files for insights and knowledge.

multivariate-analysis icon multivariate-analysis

This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.

unicorn_companies_data_analysis icon unicorn_companies_data_analysis

This repository contains files related to my project on Unicorn Companies Data Analysis. The project utilizes R Studio, Python, Tableau, and Microsoft Excel. Feel free to explore the files and reports to gain insights into global unicorn companies.

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