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a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification

R 100.00%

income-classification-of-people-in-us's Introduction

Hi 👋, I'm Anudeep

Exploring the data universe, one project at a time 🚀 | Passionate about AI, analytics, and finding hidden patterns in data 🌌 | Let's connect and collaborate!

🔭 I’m currently working on a project to identify the best products on Reddit
🌱 I’m currently learning deploying models via Flask and Docker - https://github.com/DataTalksClub/machine-learning-zoomcamp
👨‍💻 This is my Portfolio Website https://anudeepvanjavakam1.github.io/
📝 Some of my articles are here on Medium https://medium.com/@anudeepvanjavakam
📫 How to reach me [email protected]
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income-classification-of-people-in-us's Issues

smote function

hello please in need help for emergency.
i have a class imbalanced dataset and i want to balance my data but my response variable is categorical with 6 factor levels any idea how can i manage this issue and thank you in advance

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