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t-SNE (t-distributed stochastic neighbor embedding)

Dataconomy

With applications ranging from genomics to image processing, t-SNE helps bridge the gap between intricate data environments and actionable insights. t-SNE was developed by Laurens van der Maaten and Geoffrey Hinton in 2008 to visualize high-dimensional data. What is t-SNE (t-distributed stochastic neighbor embedding)?

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Netflix Data Analysis using Python

Mlearning.ai

In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. We’ll be using various Python libraries, including Pandas, Matplotlib, Seaborn, and Plotly, to visualize and analyze the data. value_counts()[:20].plot(kind="bar",color="Blue")

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Data scientist

Dataconomy

Data visualization: Creating dashboards and visual reports to clearly communicate findings to stakeholders. Job title history of data scientist The title “data scientist” gained prominence in 2008 when companies like Facebook and LinkedIn utilized it in corporate job descriptions.