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This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.

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Ahmad-Ali-Rafique/Adult-Income-Dataset

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Adult Income

About Me

Greetings! I'm Ahmad Ali This repository delves into my exploration of the Adult Income Dataset dataset. Through comprehensive Exploratory Data Analysis (EDA), I meticulously dissect the data, uncovering underlying patterns, trends, and relationships. By leveraging various classification models, I strive to predict Income with high accuracy.

A lifelong learner, I'm constantly expanding my data science and machine learning skillset through online courses, personal projects, and the vibrant data science community.

Technical Expertise:

  • Data Wrangling:

    Adept at data cleaning, manipulation, and transformation (mention specific tools like pandas)

  • Exploratory Data Analysis (EDA):

Skilled at identifying patterns, trends, and relationships in data (mention specific techniques like correlation analysis)

  • Data Visualization:

Crafting compelling and informative charts and graphs using libraries like Matplotlib, Seaborn, and [others you use]

  • Machine Learning Modeling:

Experienced in implementing various models for classification (mention specific models used) and possess a strong understanding of model evaluation metrics

  • Programming Languages:

Python (add other languages if relevant)

  • Libraries:

pandas, scikit-learn, [mention other relevant libraries] * Explore My Work:

Be Part of the Journey!

This repository welcomes contributions! If you have insights, improvements, or suggestions, feel free to submit a Pull Request. Let's build something amazing together!

About

This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.

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