A machine learning predictive system for smart agriculture using Multi-output Random Forest to analyze crop data and environmental risks
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Updated
Apr 11, 2026 - Jupyter Notebook
A machine learning predictive system for smart agriculture using Multi-output Random Forest to analyze crop data and environmental risks
Eksperimen Deep Learning menggunakan TensorFlow untuk pengenalan angka tulisan tangan (MNIST). Meliputi model dasar klasifikasi satu digit, dataset sintetis dua digit, serta model multi-output untuk tiga digit.
Multi-output LSTM-based text classification for large-scale e-commerce product categorization under class imbalance.
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