Temperature forecasting model by Likhitha | Data Science project - Machine Learning project | Python

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In this you tube video "Temperature forecasting model | Data Science - Machine Learning project | Python" by Likhitha H it is clearly explained along with source code about creating a temperature forecasting model.

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Since it is a time-series problem, does the median suit well for filling missing values ? Why ? How about linear interpolation ?
And assume that whole datas of January with all recorded years have 0 values as precipitation, how will you handle them ? As missing values or outliers ? (I know it depends on the concern, but take your case of study) Will z-score suit if outliers ?

mista_ia
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i need some help regardng this dataset can you help me

prashantaanand