Remove 2015 Remove Data Science Remove Exploratory Data Analysis
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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US.

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Multivariate Time Series Forecasting

Mlearning.ai

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

professionals

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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.

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The Gap’s Data Science Director Has Tailored the Retailer’s Operations

Flipboard

Shoppers probably dont realize how large a role data science plays in retail. Those are just some of the insights that data scientist Vivek Anand extracts to inform decision makers at the Gap , a clothing company headquartered in San Francisco. But underneath they are similar. Unexpected shipping delays happen for many reasons.