Classification with the CMC Dataset: End-to-End Data Science for Family Planning Choices скачать в хорошем качестве

Classification with the CMC Dataset: End-to-End Data Science for Family Planning Choices

This lesson guides you through solving a real-world classification problem using the Contraceptive Method Choice (CMC) dataset. Learn how to predict contraceptive methods based on demographic and socio-economic data by building a complete data science pipeline. Understand the CMC dataset: 9 features (2 numeric, 7 categorical) and multiclass target Load, inspect, and explore the structure and distributions within the dataset Identify and encode categorical features using LabelEncoder Split data into training and testing sets with stratification to keep class proportions Apply feature scaling to numeric columns with StandardScaler Train and evaluate a RandomForestClassifier, including feature importance analysis Visualize results with histograms and confusion matrices to spot patterns and model weaknesses Handle missing data simulation and imputation strategies Debug common preprocessing errors and structure end-to-end, reproducible workflows #classification #machinelearning #datasets