DATA SCIENCE House Prices
تفاصيل العمل

• Utilized Python to analyze 1460 data houses listings and gain insights to predict the house price based on various features. • Cleaned and reprocessed housing data using Pandas and NumPy to handle missing values and outliers. • Utilized exploratory data analysis (EDA) techniques with Matplotlib and Seaborn to understand data distributions and relationships.

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