This reports provides material forecasting demand using Arima, Exponential Smoothing, Croston, and Syntetos Boyland Approximation method. The dataset using in this report for modeling is real case data in one of the state owned company in Indonesia.

The dataset resourced from PT PLN

House Price Prediction

This report describe moblie price classification using Mchine Learning Algorithm. We investigated 4 Algorithm : Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM).

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Prediction Breast Cancer with Machine Learning