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Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.
The dataset provides information on crop production in India from 1997 to 2015. The Crop Production was predicted using Decision Tree Regressor, K Neighbours Regressor, Bagging Regressor, Random Forest Regressor and Gradient Boosting Regressor
Implemented various Machine Learning algorithms from scratch (k-means Clustering , k-nn classifier, k-nn regressor)
Dicoding Submission Machine Learning Terapan
š”House Price Prediction, Artificial Intelligence course, University of Tehran