I'm looking for a skilled data scientist to predict housing prices using a supervised machine learning approach. Key tasks include: - Load and explore the housing dataset - Preprocess data: - Encode categorical variables using label encoding - Handle missing values by imputing with mean or median - Split into training and testing sets - Train a Linear Regression model - Evaluate performance and visualize results Key features include area and number of bedrooms. Ideal skills and experience: - Proficiency in Python and libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn - Strong background in machine learning, particularly regression models - Experience in data preprocessing and handling missing values