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This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.

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HDFC-Stock-Model

This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.

The dataset is real taken from QUANDL.

Quandl Code: NSE/HDFCBANK

If you have the Quandle Python package already installed, you can use the following link: quandl.get("NSE/HDFCBANK", authtoken="2cyV3fZdJPmYmTXmBhXC")

No feature scaling used as Decision Tree and Random Forest do it internally.

No cross-validation used as the training set already had 4947 entries. Since we had to predict only one entry, we would get a more accurate result.

Results:

Actual Turnover(dated 18th January, 2018): ₹16654

Predicted Turnover(dated 18th January, 2018): ₹13583

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This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.

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