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Mon, December 7 at 8:30 AM - 12:30 PM GMT+5:30DeepTech DataTech
Time series forecasting has been there for ages and the techniques that can be leveraged in this field has been growing ever since. This workshop takes you from data to generating business insights. From how you prepare your data to selecting features that will go into the model, creating new features and then finally choosing which model to feed those features into. At the end of the workshop, you will not only be able to build a model but also generate insights from the data.
In this workshop, you will also be introduced to an open source package which tackles the major pain point of an AI Engineer going back to plotting and feature engineering every time a new combination of the variables is to be tried.
A deep understanding of Time series forecasting is not a prerequisite per se, but knowledge of Python is required.
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Achintya is an AI Engineer at Nissan Digital. Apart from coding, his job involves making sense and weaving a story from the data. He has experience in Deep Learning, Time Series forecasting and in making the business understand the intricacies of the models, enough to convince them to use it.
