47442/python-script-for-linear-regression-on-panda-dataframe

Use the following code:

from scipy import stats slope, intercept, r_value, p_value, std_err = stats.linregress(df.index, df['value']) df['linreg'] = intercept + slope * df.index

Yes, you can do this using statsmodels: import ...READ MORE

The above situation is the case where ...READ MORE

Evaluation of Variance: variance = np.var(prediction) # Where ...READ MORE

Apart from instructional purposes, I'm not sure ...READ MORE

Hey @Vivek, Try something like this: >>> from ...READ MORE

You can read excel files df = pd.read_excel(...) You ...READ MORE

Few real-world applications of machine learning are Have ...READ MORE

Hi @Dipti, you could try something like ...READ MORE

Rolling regression is the analysis of changing ...READ MORE

Have a look at this one, It's ...READ MORE

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