Time-Series in Python – Preprocessing and Machine Learning


Time-Series processing is highly important in many domains and sets of problems, however, preprocessing and machine learning models for time-series come with their unique challenges - we'll go through a time-series dataset and look at opportunities for optimisation. After the tutorial, you should be more comfortable with time-series datasets and know about a few modelling approaches.


Ben Auffarth is the head of data science at loveholidays. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analysed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores. More recently, he's built production systems processing hundreds of thousands of transactions per day, and trained neural networks on millions of text documents. He's authored two books on machine learning. When he's not at work, you might find him on a playground with his young son in West London. He co-founded and is the former president of Data Science Speakers, London.

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