Property Price Prediction: Exploring Advanced Models for Accurate Forecasting
تفاصيل العمل
I’ve recently created an interactive notebook that summarizes everything you need to know about data preprocessing using Python — presented in a practical and easy-to-apply style. What will you learn inside? ? This notebook walks you step by step through how to prepare your data before training any model, with a clear and simple process: Exploring the data (EDA) to understand its patterns and distributions Cleaning the data and removing noise Smart handling of missing values Text encoding (Label Encoding) Splitting the data into training and testing sets Feature scaling to enhance model performance Using tools like Pandas and Scikit-learn
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