Title:
Knowledge is Power: Understanding your Data through EDA and Visualisations

Abstract: We will discuss the power of exploratory data analysis (EDA) to gain a deeper understanding of your data sets and machine learning problems. In particular, data visualisation techniques can quickly reveal key characteristics, promising features, and important caveats. Beyond data exploration, visuals are crucial for interpreting and communicating your findings on a variety of levels. Kaggle is a treasure trove for EDA tools and techniques - as well as for masterful examples of how to structure your analysis. We will discuss outstanding examples and underrated gems in the world of Kaggle Notebooks. Through one of my own Notebooks I will share my personal approach to investigating a new dataset.

Bio: Data Scientist at Edison Software | 1st Kaggle Kernels Grandmaster | PhD Astrophysicist

#Data #EDA #Visualizations

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