Python & R libraries are utilised to enrich data and simplify tech lives in various ways. The ease with which these libraries can be applied to different data is something that is pivotal to be developed and understood. Python can also be used to forecast trends in both Crypto and Retail contexts.

This webinar will show how we can reduce waste by better allocation of resources (Human or Financial) using forecasting. This would result in greater profit and a better understanding of the seasonality of your target metric. The steep learning curve of time series forecasting is something that would be also focused on in this session.

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