The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe to a term deposit (variable y).

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Just trying to predict random stock using AR, MA, ARMA and ARIMA with Stationarity methodology .

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The following insights are expected from this project. 1. Department wise performances 2. Top 3 Important Factors effecting employee performance 3. A trained model which can predict the employee performance based on factors as inputs. This will be used to hire employees 4. Recommendations to improve the employee performance based on insights from C

This dataset contains 120 jpg images of disease-infected rice leaves. The images are grouped into 3 classes based on the type of disease. There are 40 images in each class. Classes 2. Leaf smut 3. Brown spot 3.Bacterial leaf blight

This is only for expiremeting about Format Alignment Pipeline.

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