Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.
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Updated
Sep 18, 2022 - Jupyter Notebook
Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.
Implemented various Machine Learning algorithms from scratch (k-means Clustering , k-nn classifier, k-nn regressor)
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
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
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