Elena' s AI Blog

Data science is a field that involves using statistical and programming techniques to extract insights and knowledge from data. It consists of cleaning, analyzing, and interpreting large data sets to make informed decisions. Data science can be applied to various fields, such as business, healthcare, and finance, to solve complex problems and improve decision-making.

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Data exploration and analysis with Python Pandas


Data science throws a lot of jargon at you, and "data exploration" versus "data analysis" is one of the pairs that trips people up. In this post, I explain both terms, compare them, and provide Python code using Pandas dataframes and graph drawing. Read more...

Tools and Data to Experiment with Machine Learning


Python open-source library scikit-learn provides a comprehensive selection of machine learning techniques (regression, classification, clustering), feature selection, metrics, preprocessing, and other functionality. Scikit-learn has some basic neural-network support through MLPClassifier, but for real deep learning you are better off reaching for TensorFlow's Keras API rather than the now-defunct Scikit Flow wrapper. Read more...