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A practical Data Science example demonstrating the end-to-end process of data analysis, from data cleaning to building machine learning models. The project includes data exploration, preprocessing, feature engineering, model training, evaluation, and deployment.

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DATA Science Coding Example

Data Science involves extracting meaningful insights from data through various methods and techniques, including:

Data cleaning and preprocessing Exploratory Data Analysis (EDA) Building and evaluating machine learning models Visualizing and communicating results This repository covers a range of tutorials and scripts that demonstrate how to apply these techniques in real-life scenarios.

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A practical Data Science example demonstrating the end-to-end process of data analysis, from data cleaning to building machine learning models. The project includes data exploration, preprocessing, feature engineering, model training, evaluation, and deployment.

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