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1. Exploratory-Data-Analysis-EDA- Exploratory-Data-Analysis-EDA- Public

   EDA is important because it helps you gain a better understanding of the data you are working with, identify patterns and insights, detect errors and outliers, and communicate your results effectively

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2. Feature-Engineering Feature-Engineering Public

   Feature engineering is important because it allows you to extract and transform raw data into features that can be used to improve the performance of machine learning models. It helps to identify t…

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3. Hypothesis_Testing Hypothesis_Testing Public

   Hypothesis testing is a statistical method used to determine if there is enough evidence to support or reject a claim about a population based on sample data. It involves comparing a sample statist…

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4. Machine-Learning-Project Machine-Learning-Project Public

   To develop a machine learning model by using different ML Algorithm

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5. Python-NumPy-Pandas-Assignment Python-NumPy-Pandas-Assignment Public

   NumPy and Pandas are two popular Python libraries used for data manipulation and data analysis. NumPy stands for "Numerical Python" and provides powerful tools for working with arrays and matrices …

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6. Statistics_descriptive_inferential Statistics_descriptive_inferential Public

   Statistics refers to the practice or science of collecting, organizing, analyzing, interpreting, and presenting numerical data.

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